Triple
T3149658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Television Stations |
E65844
|
entity |
| Predicate | ownsStation |
P19286
|
FINISHED |
| Object |
KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
|
E331311
|
NE FINISHED |
How this triple was built (4 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: [Fox Television Stations, ownsStation, KTVU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTVU Context triple: [Fox Television Stations, ownsStation, KTVU]
-
A.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
B.
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.
-
C.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KTLA
KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KTVU Triple: [Fox Television Stations, ownsStation, KTVU]
Generated description
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTVU Target entity description: KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
A.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
-
B.
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.
-
C.
KGO-TV
KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
-
D.
KTTV
KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
-
E.
KTLA
KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
- F. None of above. chosen
Provenance (5 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f94f3881909a277c45c9add0f5 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225b27e1c8190a3df0d4692ee66c6 |
completed | March 12, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b226339e4881908690f7ea7a7bd50c |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.