Triple
T15910447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post–Newsweek Stations |
E385833
|
entity |
| Predicate | ownedStation |
P53258
|
FINISHED |
| Object | WJXT |
E537349
|
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: WJXT | Statement: [Post–Newsweek Stations, ownedStation, WJXT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WJXT Context triple: [Post–Newsweek Stations, ownedStation, WJXT]
-
A.
WJXT
chosen
WJXT is an independent television station in Jacksonville, Florida, known for its local news and public affairs programming.
-
B.
WXTV-DT
WXTV-DT is a New York City-based television station that serves as the primary Univision network outlet for the New York metropolitan area.
-
C.
WCJB-TV
WCJB-TV is an ABC-affiliated television station serving the Gainesville, Florida market.
-
D.
WSTM-TV
WSTM-TV is a television station serving the Syracuse, New York market, known for its local news programming and affiliation with major broadcast networks.
-
E.
WJM-TV
WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
- 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_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.