Triple
T15155259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force 10 Hoops LLC |
E362054
|
entity |
| Predicate | competitionLevelOfFranchise |
P36085
|
FINISHED |
| Object | women's professional basketball |
—
|
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: women's professional basketball | Statement: [Force 10 Hoops LLC, competitionLevelOfFranchise, women's professional basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLevelOfFranchise Context triple: [Force 10 Hoops LLC, competitionLevelOfFranchise, women's professional basketball]
-
A.
competitionLevelOf
Indicates the degree or intensity of competitiveness associated with an entity, event, or context.
-
B.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry 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.
sportsTeamLevel
chosen
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
-
E.
associatedLeagueLevel
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060b0cd08190afad14cffcc7d93f |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.