Triple
T6650167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granada Television |
E150799
|
entity |
| Predicate | brandRetiredAsRegionalFranchise |
P1501
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Granada Television, brandRetiredAsRegionalFranchise, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandRetiredAsRegionalFranchise Context triple: [Granada Television, brandRetiredAsRegionalFranchise, 2004]
-
A.
franchiseBrand
Indicates that one entity is the brand under which another entity operates as a franchise.
-
B.
formerBrand
chosen
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
franchiseEventuallyBecame
Indicates that one franchise transformed into, was succeeded by, or ultimately came to be identified as another franchise over time.
-
D.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
-
E.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.