Triple
T29861504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro14 |
E758329
|
entity |
| Predicate | includesSouthAfricanFranchises |
P192903
|
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: [Pro14, includesSouthAfricanFranchises, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSouthAfricanFranchises Context triple: [Pro14, includesSouthAfricanFranchises, true]
-
A.
includesFranchisesFrom
chosen
Indicates that one entity contains or encompasses franchises that originate from another entity.
-
B.
includesFranchisesAffiliatedWith
Indicates that one entity contains or encompasses franchises that are formally affiliated with another entity.
-
C.
includedFranchise
Indicates that one franchise is contained within, or forms part of, another franchise.
-
D.
subfranchiseOf
Indicates that one franchise operates as a subordinate or derivative franchise under the authority or umbrella of another franchise.
-
E.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
Created at: April 29, 2026, 5:49 p.m.