Triple
T20068799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Arts and Sciences, University of Pennsylvania |
E499678
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Chemistry, University of Pennsylvania |
—
|
NE NERFINISHED |
How this triple was built (2 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 Chemistry, University of Pennsylvania | Statement: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of Chemistry, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Chemistry, University of Pennsylvania Context triple: [School of Arts and Sciences, University of Pennsylvania, hasDepartment, Department of Chemistry, University of Pennsylvania]
-
A.
Department of Chemistry, University of Pennsylvania
chosen
The Department of Chemistry at the University of Pennsylvania is a leading academic and research department known for its contributions to organic, inorganic, physical, and materials chemistry.
-
B.
Department of Chemistry, Princeton University
The Department of Chemistry at Princeton University is a leading academic department renowned for its research and teaching in fundamental and interdisciplinary chemical sciences.
-
C.
Department of Chemistry at Yale University
The Department of Chemistry at Yale University is a leading academic and research department known for its contributions to fundamental and interdisciplinary chemical science, training undergraduate and graduate students, and hosting prominent scholars in the field.
-
D.
Department of Chemistry, Cornell University
The Department of Chemistry at Cornell University is a leading academic and research unit known for its contributions to chemical science and the training of prominent chemists.
-
E.
Department of Chemistry (Carnegie Mellon University)
The Department of Chemistry at Carnegie Mellon University is an academic department known for its research and education in chemical sciences, spanning areas such as materials, nanotechnology, biological chemistry, and computational chemistry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:39 p.m.