Triple
T1356365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Broadcasting Company |
E28997
|
entity |
| Predicate | ownedAndOperatedStationsCountApprox |
P1301
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [American Broadcasting Company, ownedAndOperatedStationsCountApprox, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedAndOperatedStationsCountApprox Context triple: [American Broadcasting Company, ownedAndOperatedStationsCountApprox, 8]
-
A.
numberOfStations
chosen
Indicates the total count of stations associated with or contained by a given entity.
-
B.
ownerOfStations
Indicates that one entity possesses ownership or control over one or more stations.
-
C.
ownedStationsBranding
Indicates that a particular branding is used by stations that are owned by a specified entity.
-
D.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
E.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28c8dd0819082f94c9e7c837c5f |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.