Triple
T26473730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana Hoosiers |
E665969
|
entity |
| Predicate | firstNCAAMensBasketballTitleYear |
P107746
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Indiana Hoosiers, firstNCAAMensBasketballTitleYear, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNCAAMensBasketballTitleYear Context triple: [Indiana Hoosiers, firstNCAAMensBasketballTitleYear, 1940]
-
A.
NCAAMensBasketballFirstTitleCoach
Indicates that a coach led a men’s NCAA basketball team to its first-ever national championship title.
-
B.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
C.
firstNCAATournamentWin
Indicates the event in which an entity achieves its first-ever victory in an NCAA tournament game.
-
D.
firstNBAChampionship
Indicates the event or time at which an entity (typically a team or player) wins its first NBA championship title.
-
E.
NCAATournamentTitleSeason
chosen
Indicates the season in which a team won an NCAA Tournament championship title.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: April 27, 2026, 12:21 a.m.