Triple
T11283182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Ten Football Championship Game |
E267112
|
entity |
| Predicate | firstGameMatchup |
P13507
|
FINISHED |
| Object | Wisconsin Badgers vs. Michigan State Spartans |
—
|
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: Wisconsin Badgers vs. Michigan State Spartans | Statement: [Big Ten Football Championship Game, firstGameMatchup, Wisconsin Badgers vs. Michigan State Spartans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGameMatchup Context triple: [Big Ten Football Championship Game, firstGameMatchup, Wisconsin Badgers vs. Michigan State Spartans]
-
A.
firstGameOpponent
Indicates that one entity is the opponent faced by another entity in its first game or match.
-
B.
firstGamePlayed
chosen
Indicates the specific game that an entity participated in before any other, marking the earliest game in which it played.
-
C.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
D.
openingMatchResult
Indicates the outcome or result associated with the opening match in a series, tournament, or competition.
-
E.
openingMatchScore
Indicates the degree of similarity or compatibility between an opening (e.g., a position, role, or opportunity) and a given candidate or item, typically expressed as a numeric score.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.