Triple
T3952890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC Telemundo License LLC |
E84906
|
entity |
| Predicate | ownsLicenseForStationType |
P53097
|
FINISHED |
| Object | owned-and-operated 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: owned-and-operated stations | Statement: [NBC Telemundo License LLC, ownsLicenseForStationType, owned-and-operated stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsLicenseForStationType Context triple: [NBC Telemundo License LLC, ownsLicenseForStationType, owned-and-operated stations]
-
A.
typeOfLicense
Indicates the specific kind or category of license associated with an entity.
-
B.
hasLicense
Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
-
C.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
D.
ownedStationsBranding
Indicates that a particular branding is used by stations that are owned by a specified entity.
-
E.
hasRadioStation
Indicates that one entity possesses, operates, or is served by a particular radio station.
- F. None of above. chosen
Provenance (4 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaa3c6a08190bfe76629c7c98eea |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:30 p.m.