Triple
T20069018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Linguistics Colloquium |
E499684
|
entity |
| Predicate | organizedBy |
P123
|
FINISHED |
| Object | Department of Linguistics, 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 Linguistics, University of Pennsylvania | Statement: [Penn Linguistics Colloquium, organizedBy, Department of Linguistics, University of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics, University of Pennsylvania Context triple: [Penn Linguistics Colloquium, organizedBy, Department of Linguistics, University of Pennsylvania]
-
A.
University of Pennsylvania Department of Linguistics
chosen
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
-
B.
Department of Linguistics, University of California, Los Angeles
The Department of Linguistics at the University of California, Los Angeles is a leading academic center renowned for its influential research and teaching across theoretical and applied linguistics.
-
C.
Stanford University Department of Linguistics
The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
-
D.
University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
-
E.
Department of Germanic Languages and Literatures, University of Pennsylvania
The Department of Germanic Languages and Literatures at the University of Pennsylvania is an academic unit specializing in the study and teaching of German and other Germanic languages, literatures, and cultures.
- 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.