Triple

T9593315
Position Surface form Disambiguated ID Type / Status
Subject WABI-TV E231469 entity
Predicate isPartOf P10 FINISHED
Object Bangor media market E45256 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: Bangor media market | Statement: [WABI-TV, isPartOf, Bangor media market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor media market
Context triple: [WABI-TV, isPartOf, Bangor media market]
  • A. Bangor television market chosen
    The Bangor television market is a designated broadcast region in Maine that encompasses Bangor and surrounding communities for the distribution of local TV programming and advertising.
  • B. Bangor metropolitan area
    The Bangor metropolitan area is a regional urban and economic hub in central-eastern Maine centered on the city of Bangor and its surrounding communities.
  • C. Bangor
    Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
  • D. Bangor
    Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • E. Bangor City Council
    Bangor City Council is the elected local governing body responsible for setting policy, passing ordinances, and overseeing municipal services for the city of Bangor, Maine.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a134b0c81908a568e5d2ecfbb92 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161938e108190aea76d528f9208a2 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.