Triple
T1502769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Wildcats men's basketball |
E33832
|
entity |
| Predicate | hasNCAATournamentAppearances |
P3607
|
FINISHED |
| Object | over 60 |
—
|
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: over 60 | Statement: [Kentucky Wildcats men's basketball, hasNCAATournamentAppearances, over 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNCAATournamentAppearances Context triple: [Kentucky Wildcats men's basketball, hasNCAATournamentAppearances, over 60]
-
A.
NCAATournamentAppearance
chosen
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
B.
NCAA tournamentFinalAppearance
Indicates that an entity has reached the final round (championship game) of an NCAA tournament.
-
C.
NCAASweetSixteenAppearances
Indicates that an entity (typically a college basketball team) has reached the NCAA Tournament’s Sweet Sixteen round a specified number of times.
-
D.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
E.
FinalFourAppearances
Indicates the number of times a team has reached the semifinal round (Final Four) of a tournament or championship.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.