Triple
T15910458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post–Newsweek Stations |
E385833
|
entity |
| Predicate | ownedStation |
P53258
|
FINISHED |
| Object | WDIV |
E1183772
|
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: WDIV | Statement: [Post–Newsweek Stations, ownedStation, WDIV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDIV Context triple: [Post–Newsweek Stations, ownedStation, WDIV]
-
A.
WDIV-TV
chosen
WDIV-TV is a major NBC-affiliated television station serving the Detroit, Michigan market.
-
B.
WDVX
WDVX is a listener-supported Americana and roots music radio station based in Knoxville, Tennessee, known for its live performance shows and promotion of regional artists.
-
C.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
D.
WIVB-TV
WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
-
E.
WSAW-TV
WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a5b0dc81909606d667c3bc0edf |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.