Triple
T29661531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiddler, Fifer & Practical Cafe |
E750418
|
entity |
| Predicate | hasFranchisePartner |
P121664
|
FINISHED |
| Object | Starbucks |
—
|
NE NERFINISHED |
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: Starbucks | Statement: [Fiddler, Fifer & Practical Cafe, hasFranchisePartner, Starbucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFranchisePartner Context triple: [Fiddler, Fifer & Practical Cafe, hasFranchisePartner, Starbucks]
-
A.
hasFranchiseConnection
Indicates a relationship where two entities are linked through a franchise arrangement, such as licensing, branding, or operational affiliation within the same franchise system.
-
B.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
-
C.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
D.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
E.
hasFranchiseRelation
chosen
Indicates a relationship where one entity holds franchise rights or operates under the brand, business model, or authorization of another entity.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 6:58 p.m.