Triple
T20132087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 NCAA Division I-A football season |
E490918
|
entity |
| Predicate | numberOfMajorBowlsInCoalition |
P114122
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1993 NCAA Division I-A football season, numberOfMajorBowlsInCoalition, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorBowlsInCoalition Context triple: [1993 NCAA Division I-A football season, numberOfMajorBowlsInCoalition, 4]
-
A.
numberOfBCSBowls
chosen
Indicates the number of bowl games a team has played in that are part of the Bowl Championship Series (BCS).
-
B.
numberOfBowlGamesScheduled
Indicates the total count of bowl games that have been planned or scheduled for a given context or time period.
-
C.
WorldBowlChampionships
Indicates a relationship where an entity is recognized as participating in, associated with, or holding a title in the World Bowl Championships.
-
D.
numberOfBowlGamesPlayed
Indicates the total count of bowl games that an entity (typically a sports team or player) has participated in.
-
E.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66762f0448190b7dbbc665e179ffc |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.