Triple
T12596634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American South Conference |
E300748
|
entity |
| Predicate | hadMen'sBasketballTournament |
P42986
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [American South Conference, hadMen'sBasketballTournament, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMen'sBasketballTournament Context triple: [American South Conference, hadMen'sBasketballTournament, yes]
-
A.
hasBasketballTournament
chosen
Indicates that a basketball tournament is organized, hosted, or associated with a particular entity or context.
-
B.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
C.
NCAATournamentLevel
Indicates the competitive round or stage an entity has reached or participated in within the NCAA tournament structure.
-
D.
NCAATournamentAppearancesApprox
Indicates that an entity has participated in the NCAA Tournament, with the count of appearances given as an approximate rather than an exact value.
-
E.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.