Triple

T2534623
Position Surface form Disambiguated ID Type / Status
Subject GMA Network E56238 entity
Predicate hasService P182 FINISHED
Object GMA News TV International E274627 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: GMA News TV International | Statement: [GMA Network, hasService, GMA News TV International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMA News TV International
Context triple: [GMA Network, hasService, GMA News TV International]
  • A. GMA News TV chosen
    GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
  • B. ABS-CBN News Channel
    ABS-CBN News Channel is a Philippine 24-hour cable news and current affairs television channel known for its comprehensive national and international news coverage.
  • C. GMA Network
    GMA Network is a major Philippine commercial television and radio broadcasting company known for its nationwide reach and popular entertainment and news programs.
  • D. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • E. TV5 Network
    TV5 Network is a major Philippine television and media company known for its free-to-air channel TV5 and various entertainment, news, and sports 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27c8650819080005869789b802c completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf858cc81908d6a7ef5315119aa completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.