Triple
T21402405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Art (Cornell University) |
E527942
|
entity |
| Predicate | isInCollegeDivision |
P143831
|
FINISHED |
| Object | Art |
—
|
LITERAL FINISHED |
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: Art | Statement: [Department of Art (Cornell University), isInCollegeDivision, Art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCollegeDivision Context triple: [Department of Art (Cornell University), isInCollegeDivision, Art]
-
A.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
B.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
C.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
-
D.
isCollegiateLeague
Indicates that a sports league operates at the college or university level, involving teams representing academic institutions.
-
E.
isIntercollegiate
Indicates that an activity, competition, or relationship occurs between different colleges or universities rather than within a single institution.
- F. None of above. chosen
Provenance (4 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b171336c819083ae5e2c0f5d4b95 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:18 p.m.