Triple
T8305813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTAE-TV |
E194459
|
entity |
| Predicate | isLocalStationFor |
P82645
|
FINISHED |
| Object | ABC network programming in Pittsburgh |
—
|
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: ABC network programming in Pittsburgh | Statement: [WTAE-TV, isLocalStationFor, ABC network programming in Pittsburgh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocalStationFor Context triple: [WTAE-TV, isLocalStationFor, ABC network programming in Pittsburgh]
-
A.
isLocalStation
Indicates that a station operates primarily within a limited local area or serves as a stop on a local (rather than regional or long-distance) service.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
D.
hasAdjacentStationOnAC
Indicates that one station is directly next to another station along the AC line or route.
-
E.
hasStationFunction
Indicates that an entity serves in a particular functional role or capacity at a 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_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. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:54 p.m.