Triple
T17801050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Branner Library |
E444425
|
entity |
| Predicate | primaryFor |
P55012
|
FINISHED |
| Object |
Department of Geological Sciences at Stanford University
The Department of Geological Sciences at Stanford University is a leading academic department focused on research and education in Earth sciences, including geology, geophysics, and related disciplines.
|
E1288227
|
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: Department of Geological Sciences at Stanford University | Statement: [Branner Library, primaryFor, Department of Geological Sciences at Stanford University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Geological Sciences at Stanford University Context triple: [Branner Library, primaryFor, Department of Geological Sciences at Stanford University]
-
A.
Department of Earth Science at UC Santa Barbara
The Department of Earth Science at UC Santa Barbara is an academic department focused on studying the Earth’s structure, processes, and history through disciplines such as geology, geophysics, and earth system science.
-
B.
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.
-
C.
Department of Earth and Planetary Science (UC Berkeley)
The Department of Earth and Planetary Science at UC Berkeley is an academic department renowned for research and teaching on the Earth, other planets, and the processes that shape them, spanning geology, geophysics, climate science, and planetary science.
-
D.
Department of Earth, Planetary, and Space Sciences at UCLA
The Department of Earth, Planetary, and Space Sciences at UCLA is a leading academic department focused on research and education in geology, geophysics, planetary science, and space physics.
-
E.
Yale Department of Earth and Planetary Sciences
The Yale Department of Earth and Planetary Sciences is an academic department at Yale University dedicated to research and education in geology, geophysics, climate science, and planetary science.
- 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: Department of Geological Sciences at Stanford University Triple: [Branner Library, primaryFor, Department of Geological Sciences at Stanford University]
Generated description
The Department of Geological Sciences at Stanford University is a leading academic department focused on research and education in Earth sciences, including geology, geophysics, and related disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Geological Sciences at Stanford University Target entity description: The Department of Geological Sciences at Stanford University is a leading academic department focused on research and education in Earth sciences, including geology, geophysics, and related disciplines.
-
A.
Department of Earth Science at UC Santa Barbara
The Department of Earth Science at UC Santa Barbara is an academic department focused on studying the Earth’s structure, processes, and history through disciplines such as geology, geophysics, and earth system science.
-
B.
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.
-
C.
Department of Earth and Planetary Science (UC Berkeley)
The Department of Earth and Planetary Science at UC Berkeley is an academic department renowned for research and teaching on the Earth, other planets, and the processes that shape them, spanning geology, geophysics, climate science, and planetary science.
-
D.
Department of Earth, Planetary, and Space Sciences at UCLA
The Department of Earth, Planetary, and Space Sciences at UCLA is a leading academic department focused on research and education in geology, geophysics, planetary science, and space physics.
-
E.
Yale Department of Earth and Planetary Sciences
The Yale Department of Earth and Planetary Sciences is an academic department at Yale University dedicated to research and education in geology, geophysics, climate science, and planetary science.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487ff42108190b82ceb4466aa2dff |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f8429de481909fd0c906e49bacb7 |
completed | May 12, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a02f8ca36588190a1d5de8494777d61 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f9de0ae48190816002a5d32718a1 |
completed | May 12, 2026, 9:58 a.m. |
Created at: April 10, 2026, 10:13 a.m.