Triple
T8305845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WESH |
E194460
|
entity |
| Predicate | sisterStationOwnerRelationship |
P15137
|
FINISHED |
| Object | Both owned by Hearst Television |
—
|
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: Both owned by Hearst Television | Statement: [WESH, sisterStationOwnerRelationship, Both owned by Hearst Television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterStationOwnerRelationship Context triple: [WESH, sisterStationOwnerRelationship, Both owned by Hearst Television]
-
A.
sisterStation
chosen
Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
-
B.
sisterStationsInCity
Indicates that two broadcast stations operate in the same city and are considered sister stations within that local market.
-
C.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
D.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
E.
sisterAirport
Indicates that two airports are paired or linked as counterparts, often due to geographic, operational, or organizational relationships.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f293db08190912e5e8bb7e940cf |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.