Triple
T31410768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turners Falls High School |
E801254
|
entity |
| Predicate | formerlyHadMascot |
P17230
|
FINISHED |
| Object | Indians |
—
|
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: Indians | Statement: [Turners Falls High School, formerlyHadMascot, Indians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyHadMascot Context triple: [Turners Falls High School, formerlyHadMascot, Indians]
-
A.
formerMascot
chosen
Indicates that an entity once served as a mascot for another entity but no longer holds that role.
-
B.
replacedMascot
Indicates that one mascot has been substituted for or taken the place of another as the official representative.
-
C.
predecessorMascot
Indicates that one mascot previously served in the mascot role before another mascot.
-
D.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
E.
isMascotCounterpartOf
Indicates that one entity serves as the mascot equivalent or counterpart of another entity, typically representing the same thing in a mascot form.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 30, 2026, 8:38 p.m.