Triple

T28660480
Position Surface form Disambiguated ID Type / Status
Subject WMUR-TV E725453 entity
Predicate hasSubchannels P82648 FINISHED
Object yes LITERAL 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: yes | Statement: [WMUR-TV, hasSubchannels, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubchannels
Context triple: [WMUR-TV, hasSubchannels, yes]
  • A. hasDigitalSubchannels chosen
    Indicates that a broadcasting entity provides one or more additional digital subchannels alongside its primary digital channel.
  • B. hasSisterChannel
    Indicates that one media channel is related to another as its sister channel, typically under common ownership or branding.
  • C. hasCanalOrChannel
    Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
  • D. hasSubSeries
    Indicates that one series is a subordinate or component series within a larger parent series.
  • E. hasSpecialtyChannel
    Indicates that one entity provides or is associated with a dedicated channel focused on a particular specialty or subject area for another entity.
  • F. None of above.

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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: April 28, 2026, 4:57 a.m.