Triple
T13787913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KICU-TV |
E331312
|
entity |
| Predicate | sharesFacilitiesWith |
P12416
|
FINISHED |
| Object | KTVU |
E331311
|
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: KTVU | Statement: [KICU-TV, sharesFacilitiesWith, KTVU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTVU Context triple: [KICU-TV, sharesFacilitiesWith, KTVU]
-
A.
KTVU
chosen
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
B.
KPIX-TV
KPIX-TV is a CBS-affiliated television station serving the San Francisco Bay Area.
-
C.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
D.
KCRA-TV
KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
-
E.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e3642481908a9b84d8d71fb4d4 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.