Triple
T7095032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada Wolf Pack men's basketball |
E165301
|
entity |
| Predicate | bestNCAATournamentResult |
P28817
|
FINISHED |
| Object | Sweet Sixteen |
—
|
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: Sweet Sixteen | Statement: [Nevada Wolf Pack men's basketball, bestNCAATournamentResult, Sweet Sixteen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestNCAATournamentResult Context triple: [Nevada Wolf Pack men's basketball, bestNCAATournamentResult, Sweet Sixteen]
-
A.
NCAATournamentBestResultSeason
Indicates the season in which an entity achieved its best result in the NCAA Tournament.
-
B.
NCAATournamentMostOutstandingPlayer
Indicates that the subject was selected as the Most Outstanding Player of the NCAA Tournament in the relevant season or event.
-
C.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
D.
NITchampionship
Indicates that an entity has won the championship title of the National Invitation Tournament (NIT) in college basketball.
-
E.
NCAATournamentLevel
chosen
Indicates the competitive round or stage an entity has reached or participated in within the NCAA tournament structure.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.