Triple
T30681495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academic Affairs Committee (SUNY Board of Trustees) |
E781062
|
entity |
| Predicate | mayConsultWith |
P170023
|
FINISHED |
| Object | campus presidents |
—
|
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: campus presidents | Statement: [Academic Affairs Committee (SUNY Board of Trustees), mayConsultWith, campus presidents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayConsultWith Context triple: [Academic Affairs Committee (SUNY Board of Trustees), mayConsultWith, campus presidents]
-
A.
requiresConsultationWith
Indicates that performing an action or making a decision depends on first obtaining input, approval, or advice from a specified party.
-
B.
consultsOn
Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
-
C.
consulted
Indicates that one entity sought advice, information, or guidance from another entity.
-
D.
mayPrescribe
Indicates that one entity is authorized or permitted to prescribe something (typically a medication or treatment) to another entity.
-
E.
mayRequest
Indicates that one entity is permitted or authorized to make a request to another entity or for a particular resource or action.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b806a1081909fbd1b301a6936a4 |
completed | May 2, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:32 p.m.