Triple
T9492812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English First Division 1965–66 |
E228930
|
entity |
| Predicate | seasonNumberOfFootballLeagueFirstDivision |
P24961
|
FINISHED |
| Object | 67 |
—
|
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: 67 | Statement: [English First Division 1965–66, seasonNumberOfFootballLeagueFirstDivision, 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberOfFootballLeagueFirstDivision Context triple: [English First Division 1965–66, seasonNumberOfFootballLeagueFirstDivision, 67]
-
A.
seasonNumber
chosen
Indicates the ordinal position of a season within a series or sequence of seasons.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
firstALeagueSeason
Indicates that the referenced season is the first season in which the entity participated in the A-League.
-
D.
leagueSeasonNumber
Indicates the ordinal number assigned to a particular season within a league’s sequence of seasons.
-
E.
numberOfPremierDivisions
Indicates the count of premier divisions associated with or attributed to an entity.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.