Triple
T30950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I FCS |
E617
|
entity |
| Predicate | minimumFootballGamesPerSeason |
P2139
|
FINISHED |
| Object | at least 11 regular-season games (typical) |
—
|
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: at least 11 regular-season games (typical) | Statement: [NCAA Division I FCS, minimumFootballGamesPerSeason, at least 11 regular-season games (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumFootballGamesPerSeason Context triple: [NCAA Division I FCS, minimumFootballGamesPerSeason, at least 11 regular-season games (typical)]
-
A.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
B.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
numberOfPositions
Indicates the total count of distinct positions or roles associated with a given entity.
-
D.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
E.
hasNumberOfStudentAthletes
Indicates the relationship that specifies how many student athletes are associated with a given entity.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490d80a0819083bf604c1229e903 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a2486eb01881909241540dda28e1ff |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a2490c9c348190bf8536a08415b94a |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.