Triple

T6865192
Position Surface form Disambiguated ID Type / Status
Subject KNBC-TV E158382 entity
Predicate formerCallsign P4444 FINISHED
Object KNBH
KNBH was the original call sign of the Los Angeles television station now known as KNBC-TV, the NBC owned-and-operated flagship on the West Coast.
 E623333 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: KNBH | Statement: [KNBC-TV, formerCallsign, KNBH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNBH
Context triple: [KNBC-TV, formerCallsign, KNBH]
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. BK3N
    BK3N is a small, faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
  • E. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • 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: KNBH
Triple: [KNBC-TV, formerCallsign, KNBH]
Generated description
KNBH was the original call sign of the Los Angeles television station now known as KNBC-TV, the NBC owned-and-operated flagship on the West Coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNBH
Target entity description: KNBH was the original call sign of the Los Angeles television station now known as KNBC-TV, the NBC owned-and-operated flagship on the West Coast.
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. BK3N
    BK3N is a small, faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
  • E. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d88c48f08190b9afba97b19d8605 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72ff153d48190a4b0d4e403457fe8 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c730e882308190a3fbc61245941338 completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c7316a9cc081908c088725cb7626e8 completed March 28, 2026, 1:39 a.m.
Created at: March 27, 2026, 2:21 p.m.