Triple
T12246780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Bruins softball |
E291870
|
entity |
| Predicate | firstNCAANationalTitleYear |
P79595
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [UCLA Bruins softball, firstNCAANationalTitleYear, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNCAANationalTitleYear Context triple: [UCLA Bruins softball, firstNCAANationalTitleYear, 1982]
-
A.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
B.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
-
C.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
D.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
E.
collegeChampionshipYear
chosen
Indicates the specific year in which a college team or individual won a 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.