Triple

T2129832
Position Surface form Disambiguated ID Type / Status
Subject The CW E46510 entity
Predicate hasFlagshipStation P22144 FINISHED
Object 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.
 E237379 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: KTLA | Statement: [The CW, hasFlagshipStation, KTLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTLA
Context triple: [The CW, hasFlagshipStation, KTLA]
  • A. KABC-TV
    KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
  • 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. KTTV
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • D. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • E. KNBC-TV
    KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
  • 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: KTLA
Triple: [The CW, hasFlagshipStation, KTLA]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTLA
Target entity description: 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.
  • A. KABC-TV
    KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
  • 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. KTTV
    KTTV is a Los Angeles-based television station, historically known as a major outlet for sports broadcasting and local news coverage.
  • D. KGO-TV
    KGO-TV is a major ABC-owned local television station serving the San Francisco Bay Area with news, entertainment, and network programming.
  • E. KNBC-TV
    KNBC-TV is the NBC-owned and operated television station serving the Los Angeles, California market.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a5d95881909b4b77c14f565e21 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae523cdebc819088b94e67b5311527 completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae52c56c5c8190bbdd2af3dde63374 completed March 9, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:44 p.m.