Triple
T14874534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antenna TV |
E349830
|
entity |
| Predicate | networkAffiliationModel |
P54078
|
FINISHED |
| Object | affiliation agreements with local stations |
—
|
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: affiliation agreements with local stations | Statement: [Antenna TV, networkAffiliationModel, affiliation agreements with local stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkAffiliationModel Context triple: [Antenna TV, networkAffiliationModel, affiliation agreements with local stations]
-
A.
networkAffiliationOfStation
Indicates that a particular broadcast station is affiliated with, or part of, a specific television or radio network.
-
B.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
C.
networkOwnershipModel
Indicates the type or structure of ownership that governs control and rights over a network.
-
D.
hasAffiliationModel
chosen
Indicates that one entity uses, follows, or is governed by a particular affiliation model in its relationships or organizational structure.
-
E.
networkPartOf
Indicates that one network is a component or subdivision of a larger, encompassing network.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.