Triple
T22745166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas–Kansas State rivalry |
E562528
|
entity |
| Predicate | competitiveBalanceVariesBySport |
P149583
|
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, competitiveBalanceVariesBySport, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitiveBalanceVariesBySport Context triple: [Kansas–Kansas State rivalry, competitiveBalanceVariesBySport, true]
-
A.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
B.
competitionWeight
Indicates the weight or importance assigned to an entity within a competitive context or event.
-
C.
competitionSurface
Indicates the type of surface or medium on which a competition or contest takes place.
-
D.
relatedSport
Indicates that there is an association or connection between an entity and a particular sport.
-
E.
competitionBallFor
Indicates that two or more entities are actively contesting possession or control of the same ball.
- 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.