Triple
T5871307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTVD |
E130520
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object | KFSN-TV |
E131259
|
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: KFSN-TV | Statement: [WTVD, sisterStation, KFSN-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFSN-TV Context triple: [WTVD, sisterStation, KFSN-TV]
-
A.
KFSN-TV
chosen
KFSN-TV is a local television station in Fresno, California, serving as the market’s ABC network affiliate.
-
B.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
C.
KSAZ-TV
KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
-
D.
KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
E.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035f87a4c819092fcfce58d303d61 |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b114c53081908ea441b2a15c9ab9 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.