Triple
T793225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s basketball |
E16959
|
entity |
| Predicate | includesConferenceTournaments |
P19203
|
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: [NCAA women’s basketball, includesConferenceTournaments, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesConferenceTournaments Context triple: [NCAA women’s basketball, includesConferenceTournaments, yes]
-
A.
hasConferenceSport
Indicates that an institution participates in or is associated with a particular sport within a specific athletic conference.
-
B.
competitionConference
Indicates that a competition is associated with, held at, or organized as part of a particular conference.
-
C.
conferenceTournamentTitles
Indicates the number of conference tournament championships an entity has won.
-
D.
includesLeague
Indicates that an entity (such as a competition, organization, or system) contains or encompasses a specific league as one of its components.
-
E.
hasConference
Indicates that an entity organizes, hosts, or is associated with a specific conference.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79a3bbc81908d818c50a366b0f8 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.