Triple
T13400273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBBM-TV |
E319808
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | CBS 2 |
E319808
|
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: CBS 2 | Statement: [WBBM-TV, branding, CBS 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBS 2 Context triple: [WBBM-TV, branding, CBS 2]
-
A.
KYW-TV
KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
-
B.
WBBM-TV
chosen
WBBM-TV is the CBS-owned television station in Chicago that has served as a major local news outlet and early-career platform for prominent journalists such as Lester Holt.
-
C.
KCAL-TV
KCAL-TV is a Los Angeles-based television station known for its local news and sports coverage, including broadcasts of Los Angeles Lakers games.
-
D.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.