Triple
T2340035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardsley Union Free School District |
E45002
|
entity |
| Predicate | mascotOfDistrictHighSchool |
P33791
|
FINISHED |
| Object | Panthers |
—
|
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: Panthers | Statement: [Ardsley Union Free School District, mascotOfDistrictHighSchool, Panthers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mascotOfDistrictHighSchool Context triple: [Ardsley Union Free School District, mascotOfDistrictHighSchool, Panthers]
-
A.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
B.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
C.
isMascot
chosen
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
D.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
E.
mascotDesigner
Indicates that one entity is responsible for designing or creating the mascot associated with another entity.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.