Triple
T15429324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Basketball League (Australia) |
E369593
|
entity |
| Predicate | usesFranchiseModel |
P13614
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [National Basketball League (Australia), usesFranchiseModel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFranchiseModel Context triple: [National Basketball League (Australia), usesFranchiseModel, yes]
-
A.
hasFranchiseModel
chosen
Indicates that one entity operates under, offers, or is associated with a business franchise system or structure defined by another entity.
-
B.
usedByFranchise
Indicates that something (such as a resource, asset, or element) is utilized or employed by a particular franchise.
-
C.
supportsFranchise
Indicates that one entity provides backing, resources, or endorsement to help establish, maintain, or promote a franchise associated with another entity.
-
D.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
E.
hasFranchiseSlot
Indicates that an entity holds or is assigned a specific franchise position, license, or allocation within a larger franchising structure.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.