Triple

T13399800
Position Surface form Disambiguated ID Type / Status
Subject WSNS-TV E319796 entity
Predicate callsign P1565 FINISHED
Object WSNS-TV E319796 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: WSNS-TV | Statement: [WSNS-TV, callsign, WSNS-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSNS-TV
Context triple: [WSNS-TV, callsign, WSNS-TV]
  • A. WSNS-TV chosen
    WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
  • B. WSAW-TV
    WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
  • C. WNAC-TV
    WNAC-TV was a Boston-based television station that served as a major network affiliate and broadcast outlet in New England during much of the 20th century.
  • D. WNSH
    WNSH is a New York City-area radio station known for its country music format and association with major broadcasting networks.
  • E. WJM-TV
    WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730745a248190b32c11eeee618864 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.