Triple
T20274282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Sciences at Columbia University |
E502968
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of French and Romance Philology at Columbia University
The Department of French and Romance Philology at Columbia University is an academic department dedicated to the study and research of French language, literature, and related Romance languages and cultures.
|
E1422264
|
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 French and Romance Philology at Columbia University | Statement: [Faculty of Arts and Sciences at Columbia University, hasUnit, Department of French and Romance Philology at Columbia University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of French and Romance Philology at Columbia University Context triple: [Faculty of Arts and Sciences at Columbia University, hasUnit, Department of French and Romance Philology at Columbia University]
-
A.
Department of Romance Languages, University of Pennsylvania
The Department of Romance Languages at the University of Pennsylvania is an academic unit specializing in the study and teaching of Romance languages, literatures, and cultures such as French, Italian, Spanish, and Portuguese.
-
B.
Department of Romance Languages and Literatures at Harvard University
The Department of Romance Languages and Literatures at Harvard University is an academic department dedicated to the study, teaching, and research of Romance languages, literatures, and cultures such as French, Italian, Portuguese, and Spanish.
-
C.
Department of French Studies
The Department of French Studies is an academic unit at the University of Belgrade specializing in French language, literature, and culture within the broader field of philology.
-
D.
Department of French Language and Literature
The Department of French Language and Literature is an academic unit at Korea University dedicated to the study of the French language, its literature, and related Francophone cultures.
-
E.
Department of French
The Department of French is an academic unit specializing in French language, literature, and culture within the Allama Iqbal Campus.
- 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 French and Romance Philology at Columbia University Triple: [Faculty of Arts and Sciences at Columbia University, hasUnit, Department of French and Romance Philology at Columbia University]
Generated description
The Department of French and Romance Philology at Columbia University is an academic department dedicated to the study and research of French language, literature, and related Romance languages and cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of French and Romance Philology at Columbia University Target entity description: The Department of French and Romance Philology at Columbia University is an academic department dedicated to the study and research of French language, literature, and related Romance languages and cultures.
-
A.
Department of Romance Languages, University of Pennsylvania
The Department of Romance Languages at the University of Pennsylvania is an academic unit specializing in the study and teaching of Romance languages, literatures, and cultures such as French, Italian, Spanish, and Portuguese.
-
B.
Department of Romance Languages and Literatures at Harvard University
The Department of Romance Languages and Literatures at Harvard University is an academic department dedicated to the study, teaching, and research of Romance languages, literatures, and cultures such as French, Italian, Portuguese, and Spanish.
-
C.
Department of French Studies
The Department of French Studies is an academic unit at the University of Belgrade specializing in French language, literature, and culture within the broader field of philology.
-
D.
Department of French Language and Literature
The Department of French Language and Literature is an academic unit at Korea University dedicated to the study of the French language, its literature, and related Francophone cultures.
-
E.
Department of French
The Department of French is an academic unit specializing in French language, literature, and culture within the Allama Iqbal Campus.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e104f081909d17c1963a5db528 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a1eeed881909fdda6e5e044216e |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 16, 2026, 10:31 a.m.