Triple
T13018351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City television market |
E322610
|
entity |
| Predicate | includesStation |
P33789
|
FINISHED |
| Object | WXTV |
E547794
|
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: WXTV | Statement: [New York City television market, includesStation, WXTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WXTV Context triple: [New York City television market, includesStation, WXTV]
-
A.
WXTV-DT
chosen
WXTV-DT is a New York City-based television station that serves as the primary Univision network outlet for the New York metropolitan area.
-
B.
WTVT
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
-
C.
WJXT
WJXT is an independent television station in Jacksonville, Florida, known for its local news and public affairs programming.
-
D.
WTVG
WTVG is a television station in Toledo, Ohio, best known as the local ABC affiliate providing news, weather, and entertainment programming to the region.
-
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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c116423881908d0de1e04904fbc3 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:51 p.m.