Triple
T28968392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986 NCAA Division I-A football championship |
E732102
|
entity |
| Predicate | championFinalCoachesRank |
P167388
|
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: [1986 NCAA Division I-A football championship, championFinalCoachesRank, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championFinalCoachesRank Context triple: [1986 NCAA Division I-A football championship, championFinalCoachesRank, 1]
-
A.
championFinalAPRank
Indicates that an entity is the national champion as determined by its final Associated Press (AP) ranking.
-
B.
championCoachPosition
Indicates that a coach held the coaching position for a team that won a championship.
-
C.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
-
D.
championFinalsRecord
Indicates the win–loss record a champion has specifically in finals appearances.
-
E.
championCoachNotability
Indicates that a coach is notable specifically for leading a team or individual to a championship title.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 8:53 a.m.