Triple
T10518801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowling Green Falcons men’s ice hockey |
E248107
|
entity |
| Predicate | NCAANationalChampionshipCount |
P24536
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Bowling Green Falcons men’s ice hockey, NCAANationalChampionshipCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAANationalChampionshipCount Context triple: [Bowling Green Falcons men’s ice hockey, NCAANationalChampionshipCount, 1]
-
A.
NCAAChampionshipCount
chosen
Indicates the number of NCAA championships an entity has won.
-
B.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
-
C.
numberOfNationalChampionships
Indicates the total count of national championship titles an entity has won.
-
D.
NCAATournamentAppearancesApprox
Indicates that an entity has participated in the NCAA Tournament, with the count of appearances given as an approximate rather than an exact value.
-
E.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dd29b48190aa5b170e2558545c |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:28 p.m.