Triple

T12208271
Position Surface form Disambiguated ID Type / Status
Subject Thirteen WNET New York E290890 entity
Predicate callsign P1565 FINISHED
Object WNET E290882 NE FINISHED

How this triple was built (2 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: WNET | Statement: [Thirteen WNET New York, callsign, WNET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNET
Context triple: [Thirteen WNET New York, callsign, WNET]
  • A. WNET chosen
    WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
  • B. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • C. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • D. WCVB-TV
    WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
  • E. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555903b08190a8c70bf7eda47dff completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:51 p.m.