Triple

T12207916
Position Surface form Disambiguated ID Type / Status
Subject WETA-TV E290881 entity
Predicate hasSisterStation P15137 FINISHED
Object WETA-FM E290881 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: WETA-FM | Statement: [WETA-TV, hasSisterStation, WETA-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WETA-FM
Context triple: [WETA-TV, hasSisterStation, WETA-FM]
  • A. WETA
    WETA is the Water Emergency Transportation Authority, the public agency that oversees and operates ferry services in the San Francisco Bay Area.
  • B. WETA-TV chosen
    WETA-TV is a Washington, D.C.–based public television station and major PBS member known for producing flagship national programs such as PBS NewsHour.
  • C. KDKA-FM
    KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
  • D. KDKA (AM)
    KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
  • E. KDKA-TV
    KDKA-TV is a Pittsburgh-based television station and major CBS affiliate known as one of the pioneering commercial TV outlets in the United States.
  • 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_69f6345c27508190bd2e9d466ebce73c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.