Triple
T37856110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 NCAA Division I-A football national championship |
E944194
|
entity |
| Predicate | recordOfChampionTeam |
P196447
|
FINISHED |
| Object | 12–0 |
—
|
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: 12–0 | Statement: [1988 NCAA Division I-A football national championship, recordOfChampionTeam, 12–0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordOfChampionTeam Context triple: [1988 NCAA Division I-A football national championship, recordOfChampionTeam, 12–0]
-
A.
notableChampionTeam
Indicates that a team is notably recognized as the champion associated with a particular competition, event, or context.
-
B.
stateOfChampionTeam
Indicates that a given entity is the geographic or political state associated with a particular champion team.
-
C.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
-
D.
championsTitleWonBy
Indicates that a particular championship title is held or has been won by a specific entity.
-
E.
teamChampionshipsWon
Indicates the number of championship titles that a team has won.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
| PDg | Predicate description generation | batch_69fe349739cc8190a21c408208312e6c |
completed | May 8, 2026, 7:08 p.m. |
Created at: May 3, 2026, 4:19 p.m.