Triple
T25626818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilion, New York |
E642454
|
entity |
| Predicate | schoolMascotHistoric |
P160133
|
FINISHED |
| Object | Golden Bombers |
—
|
NE NERFINISHED |
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: Golden Bombers | Statement: [Ilion, New York, schoolMascotHistoric, Golden Bombers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolMascotHistoric Context triple: [Ilion, New York, schoolMascotHistoric, Golden Bombers]
-
A.
mascotOfHighSchool
Indicates that one entity serves as the official mascot representing a particular high school.
-
B.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
C.
mascotName
Indicates the name assigned to a mascot that represents an entity.
-
D.
mascotCharacteristic
Indicates that a mascot possesses or is associated with a particular characteristic or trait.
-
E.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6018f91248190985323d1a678e539 |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 21, 2026, 5:15 p.m.