Triple
T26329170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State University Police |
E662334
|
entity |
| Predicate | isFullServiceAgency |
P64824
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [New York State University Police, isFullServiceAgency, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFullServiceAgency Context triple: [New York State University Police, isFullServiceAgency, yes]
-
A.
isFullService
chosen
Indicates that an entity provides a complete range of services or functions, covering all major aspects typically expected in its domain.
-
B.
isFullServiceCarrier
Indicates that an airline operates as a full-service carrier, providing a wide range of services (such as checked baggage, in-flight meals, and multiple cabin classes) typically included in the ticket price.
-
C.
isFlagshipServiceOf
Indicates that a particular service is the primary, leading, or most prominent offering of a given organization or provider.
-
D.
servesAgency
Indicates that one entity performs services or functions on behalf of, or under the authority of, an agency.
-
E.
hasCommercialServices
Indicates that one entity provides or offers commercial services to another entity or within a specified context.
- F. None of above.
Provenance (3 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f67cde08190b9bfe877342778eb |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:32 p.m.