Triple

T8305757
Position Surface form Disambiguated ID Type / Status
Subject KCRA-TV E194458 entity
Predicate sisterStation P15137 FINISHED
Object KQCA
KQCA is a television station serving the Sacramento, California market, operating as a sister outlet to NBC affiliate KCRA-TV and carrying syndicated and network programming.
E724752 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: KQCA | Statement: [KCRA-TV, sisterStation, KQCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KQCA
Context triple: [KCRA-TV, sisterStation, KQCA]
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • C. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • D. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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: KQCA
Triple: [KCRA-TV, sisterStation, KQCA]
Generated description
KQCA is a television station serving the Sacramento, California market, operating as a sister outlet to NBC affiliate KCRA-TV and carrying syndicated and network programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KQCA
Target entity description: KQCA is a television station serving the Sacramento, California market, operating as a sister outlet to NBC affiliate KCRA-TV and carrying syndicated and network programming.
  • A. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • B. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • C. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • D. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.