Triple
T17174644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's sabre |
E416826
|
entity |
| Predicate | introducedInNCAAChampionships |
P126611
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [women's sabre, introducedInNCAAChampionships, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInNCAAChampionships Context triple: [women's sabre, introducedInNCAAChampionships, 2000]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
NCAAappearance
Indicates that an entity has participated in or made an appearance in an NCAA (National Collegiate Athletic Association) event or tournament.
-
C.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
-
D.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
E.
NCAARegionalAppearances
Indicates that an entity has participated in one or more NCAA regional-level postseason competitions or tournaments.
- F. None of above. chosen
Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0c329081909f118bd4b7be8653 |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.