Triple
T13399862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KVEA |
E319797
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object | KNBC |
E158382
|
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: KNBC | Statement: [KVEA, sisterStation, KNBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNBC Context triple: [KVEA, sisterStation, KNBC]
-
A.
KNBC-TV
chosen
KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
-
B.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
C.
KXAN-TV
KXAN-TV is a television station serving the Austin, Texas market, known primarily as the local NBC affiliate.
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
- 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.