Triple
T12207895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WETA-TV |
E290881
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | WETA |
E353792
|
NE 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: WETA | Statement: [WETA-TV, owner, WETA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WETA Context triple: [WETA-TV, owner, WETA]
-
A.
WETA
chosen
WETA is the Water Emergency Transportation Authority, the public agency that oversees and operates ferry services in the San Francisco Bay Area.
-
B.
WETA-TV
WETA-TV is a Washington, D.C.–based public television station and major PBS member known for producing flagship national programs such as PBS NewsHour.
-
C.
KDKA-TV
KDKA-TV is a Pittsburgh-based television station and major CBS affiliate known as one of the pioneering commercial TV outlets in the United States.
-
D.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
-
E.
WCBW
WCBW was the original call sign of the New York City television station now known as WCBS-TV, one of the earliest commercial TV stations in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7d8f5c8190a46e9caa2a920fa9 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.