Triple
T14449938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 NCAA Division I FBS football season |
E358303
|
entity |
| Predicate | numberOfBowlGamesPlayed |
P114325
|
FINISHED |
| Object | 26 |
—
|
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: 26 | Statement: [2020 NCAA Division I FBS football season, numberOfBowlGamesPlayed, 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBowlGamesPlayed Context triple: [2020 NCAA Division I FBS football season, numberOfBowlGamesPlayed, 26]
-
A.
bowlGame
Indicates that the relationship or event involves a postseason college football bowl game in which a team participates or that is associated with an entity.
-
B.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
C.
hasWonBowlGames
Indicates that one entity has achieved victories in one or more bowl games associated with another entity.
-
D.
bowlGamesCoached
Indicates the number of postseason bowl games in which a coach has served as the head coach for a team.
-
E.
nflGamesPlayed
Indicates the number of official NFL games in which a given player has participated.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916139888190be219678e29a2a3a |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:19 a.m.