Triple
T15409286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkers franchises |
E368541
|
entity |
| Predicate | supportFromFranchisor |
P83655
|
FINISHED |
| Object | marketing support |
—
|
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: marketing support | Statement: [Checkers franchises, supportFromFranchisor, marketing support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportFromFranchisor Context triple: [Checkers franchises, supportFromFranchisor, marketing support]
-
A.
supportsFranchise
Indicates that one entity provides backing, resources, or endorsement to help establish, maintain, or promote a franchise associated with another entity.
-
B.
supportsFranchiseType
Indicates that one entity is compatible with, or provides the necessary capabilities for, a particular type of franchise.
-
C.
sharesFranchiseWith
Indicates that two entities belong to or are associated with the same franchise or overarching media/brand series.
-
D.
operatesUnderFranchiseFrom
Indicates that one entity conducts its business or operations under the franchising rights, brand, and system granted by another entity.
-
E.
franchiseContribution
chosen
Indicates that an entity provides resources, value, or support to a franchise or franchised operation.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.