Triple
T26488473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Day LA |
E664890
|
entity |
| Predicate | stationAffiliation |
P46666
|
FINISHED |
| Object | Fox network |
—
|
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: Fox network | Statement: [Good Day LA, stationAffiliation, Fox network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationAffiliation Context triple: [Good Day LA, stationAffiliation, Fox network]
-
A.
networkAffiliationOfStation
chosen
Indicates that a particular broadcast station is affiliated with, or part of, a specific television or radio network.
-
B.
regionServedByStation
Indicates that a particular geographic region is within the service coverage area of a given station.
-
C.
televisionNetworkAssociation
Indicates a relationship where an entity is affiliated with, carried by, or part of a particular television network.
-
D.
broadcasterAbbreviation
Indicates that an entity is identified by a specific abbreviated name used by a broadcaster.
-
E.
broadcastStation
Indicates that one entity functions as a broadcast station that transmits content or signals to an audience or 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:32 a.m.