Triple
T8185248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commack Union Free School District |
E191164
|
entity |
| Predicate | schoolMascotAtHighSchool |
P52
|
FINISHED |
| Object | Cougars |
—
|
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: Cougars | Statement: [Commack Union Free School District, schoolMascotAtHighSchool, Cougars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolMascotAtHighSchool Context triple: [Commack Union Free School District, schoolMascotAtHighSchool, Cougars]
-
A.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
B.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
C.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
D.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
E.
homeVenueMascotAt
Indicates that a mascot is present at and associated with the home venue of a particular team or organization.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c507f248190b599b4a629b7518a |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.