Triple
T22745153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas–Kansas State rivalry |
E562528
|
entity |
| Predicate | featuresWomenTeams |
P149582
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kansas–Kansas State rivalry, featuresWomenTeams, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresWomenTeams Context triple: [Kansas–Kansas State rivalry, featuresWomenTeams, true]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
womenTeamsCount
Indicates the number of teams composed of women associated with a given entity or context.
-
C.
hasWomenTeamInLeague
Indicates that an entity has a women’s team that participates in a specified league.
-
D.
womenTeamOrigin
Indicates that a women’s team originates from, is based in, or is otherwise associated with a particular place or organization.
-
E.
womenTeamSuccessor
Indicates that one women's team is the successor or follow-up to another women's team, continuing its role, identity, or competitive position.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b563e481908804d07fca1777b9 |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:23 p.m.