Triple
T8334261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nexstar Media Group |
E195147
|
entity |
| Predicate | isLargestOwnerOf |
P80889
|
FINISHED |
| Object | local television stations in the United States |
—
|
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: local television stations in the United States | Statement: [Nexstar Media Group, isLargestOwnerOf, local television stations in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestOwnerOf Context triple: [Nexstar Media Group, isLargestOwnerOf, local television stations in the United States]
-
A.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
B.
majorityOwnerFrom
Indicates that one entity holds a controlling majority ownership stake originating from or associated with another entity or source.
-
C.
hasCapitalOwnerRole
Indicates that an entity holds the role or status of owning capital in relation to another entity or asset.
-
D.
ownedMostOf
chosen
Indicates that one entity possessed the majority share or largest portion of another entity or resource, relative to all other owners.
-
E.
hasOwnerShare
Indicates that an entity holds a specified ownership stake or share in another entity or asset.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbe61f481909cde8ab2c42f89fc |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.