Triple

T661838
Position Surface form Disambiguated ID Type / Status
Subject WNBC E11771 entity
Predicate sisterStation P15137 FINISHED
Object WQCD
WQCD is a New York City FM radio station historically known for its smooth jazz format and association with major NBC-owned media outlets.
 E82923 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: WQCD | Statement: [WNBC, sisterStation, WQCD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WQCD
Context triple: [WNBC, sisterStation, WQCD]
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • D. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • E. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • 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: WQCD
Triple: [WNBC, sisterStation, WQCD]
Generated description
WQCD is a New York City FM radio station historically known for its smooth jazz format and association with major NBC-owned media outlets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WQCD
Target entity description: WQCD is a New York City FM radio station historically known for its smooth jazz format and association with major NBC-owned media outlets.
  • A. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • B. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • C. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • D. NUQ
    NUQ is the IATA airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
  • E. WCP
    WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa954988190841740a587ace466 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c398cc748190ab720263096064ef completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4523e8081909464ca227b880e77 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cdae65808190b7191f63d5f16d9f completed March 2, 2026, 5:49 p.m.
Created at: March 1, 2026, 7:36 p.m.