Triple
T8305875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WLWT |
E194461
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | WLWT 5 |
E194461
|
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: WLWT 5 | Statement: [WLWT, branding, WLWT 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLWT 5 Context triple: [WLWT, branding, WLWT 5]
-
A.
WLWT
chosen
WLWT is a Cincinnati-based television station that serves as a major local NBC affiliate in the United States.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WLTV-DT
WLTV-DT is a major Spanish-language television station in Miami, Florida, serving as the primary Univision outlet for the South Florida market.
-
D.
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.
-
E.
WLBZ
WLBZ is a television station serving the Bangor, Maine market as a primary network affiliate.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f293db08190912e5e8bb7e940cf |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd955100448190862fd52d660585fd |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:54 p.m.