Triple
T7265935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA South Athletic Conference |
E159773
|
entity |
| Predicate | competitionLevelCharacteristic |
P57499
|
FINISHED |
| Object | non-scholarship athletics |
—
|
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: non-scholarship athletics | Statement: [USA South Athletic Conference, competitionLevelCharacteristic, non-scholarship athletics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLevelCharacteristic Context triple: [USA South Athletic Conference, competitionLevelCharacteristic, non-scholarship athletics]
-
A.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
B.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
C.
competitionHierarchyLevel
Indicates the relative rank or tier of a competition within an overall competitive structure or hierarchy.
-
D.
competitionWeight
Indicates the weight or importance assigned to an entity within a competitive context or event.
-
E.
notableLeagueCharacteristic
chosen
Indicates that a particular characteristic is especially prominent or defining for a given league.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.