Triple
T11119262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference (WNBA) |
E262973
|
entity |
| Predicate | hasFranchiseLocationBias |
P6407
|
FINISHED |
| Object | western regions |
—
|
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: western regions | Statement: [Western Conference (WNBA), hasFranchiseLocationBias, western regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFranchiseLocationBias Context triple: [Western Conference (WNBA), hasFranchiseLocationBias, western regions]
-
A.
hasFranchiseFromCity
Indicates that an entity holds a franchise or licensed operation originating from, or granted by, a particular city.
-
B.
teamLocationScope
chosen
Indicates the geographic or organizational area within which a team operates or is considered relevant.
-
C.
hasFranchiseSlot
Indicates that an entity holds or is assigned a specific franchise position, license, or allocation within a larger franchising structure.
-
D.
originalFranchiseLocation
Indicates that a location is the first or founding site from which a particular franchise originated.
-
E.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af6fe448190b042c2e77b855b05 |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.