Triple
T1440954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego State Aztecs men's basketball |
E31068
|
entity |
| Predicate | NCAATournamentRunnerUp |
P6610
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [San Diego State Aztecs men's basketball, NCAATournamentRunnerUp, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAATournamentRunnerUp Context triple: [San Diego State Aztecs men's basketball, NCAATournamentRunnerUp, 2023]
-
A.
NCAATournamentEliteEightAppearances
Indicates the number of times an entity has reached the Elite Eight round of the NCAA basketball tournament.
-
B.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball 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.
finalsLosingTeam
chosen
Indicates the team that was defeated in the final match of a competition or tournament.
-
E.
finalFourAppearance
Indicates that an entity 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.