Triple
T4260729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Branner Earth Sciences Library & Map Collections |
E96096
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
School of Earth, Energy & Environmental Sciences at Stanford University
The School of Earth, Energy & Environmental Sciences at Stanford University is an academic division focused on research and education in geosciences, energy resources, and environmental sustainability.
|
E425718
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: School of Earth, Energy & Environmental Sciences at Stanford University | Statement: [Branner Earth Sciences Library & Map Collections, affiliation, School of Earth, Energy & Environmental Sciences at Stanford University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Earth, Energy & Environmental Sciences at Stanford University Context triple: [Branner Earth Sciences Library & Map Collections, affiliation, School of Earth, Energy & Environmental Sciences at Stanford University]
-
A.
School of Engineering at Stanford University
The School of Engineering at Stanford University is a leading engineering institution renowned for its cutting-edge research, innovation, and close ties to Silicon Valley.
-
B.
Berkeley Energy and Climate Institute
The Berkeley Energy and Climate Institute is a multidisciplinary research center at UC Berkeley focused on advancing solutions to global energy and climate challenges through research, education, and policy engagement.
-
C.
Porter School of the Environment and Earth Sciences
The Porter School of the Environment and Earth Sciences is an academic and research institution in Israel dedicated to advancing environmental studies, sustainability, and earth sciences.
-
D.
Doerr School of Sustainability
The Doerr School of Sustainability is Stanford University's academic school dedicated to research and education on climate, environmental science, and sustainable solutions for the planet.
-
E.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Earth, Energy & Environmental Sciences at Stanford University Triple: [Branner Earth Sciences Library & Map Collections, affiliation, School of Earth, Energy & Environmental Sciences at Stanford University]
Generated description
The School of Earth, Energy & Environmental Sciences at Stanford University is an academic division focused on research and education in geosciences, energy resources, and environmental sustainability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Earth, Energy & Environmental Sciences at Stanford University Target entity description: The School of Earth, Energy & Environmental Sciences at Stanford University is an academic division focused on research and education in geosciences, energy resources, and environmental sustainability.
-
A.
School of Engineering at Stanford University
The School of Engineering at Stanford University is a leading engineering institution renowned for its cutting-edge research, innovation, and close ties to Silicon Valley.
-
B.
Berkeley Energy and Climate Institute
The Berkeley Energy and Climate Institute is a multidisciplinary research center at UC Berkeley focused on advancing solutions to global energy and climate challenges through research, education, and policy engagement.
-
C.
Porter School of the Environment and Earth Sciences
The Porter School of the Environment and Earth Sciences is an academic and research institution in Israel dedicated to advancing environmental studies, sustainability, and earth sciences.
-
D.
Doerr School of Sustainability
The Doerr School of Sustainability is Stanford University's academic school dedicated to research and education on climate, environmental science, and sustainable solutions for the planet.
-
E.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f8103b48190934a810faafa6cb7 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78c93c48190a4274f0de3fc2d25 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b85f31d481908f85ea08b9af5b52 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8d0fc1c8190908724ea4f7c3d17 |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.