Triple

T12112526
Position Surface form Disambiguated ID Type / Status
Subject GMA Kamuning station E288467 entity
Predicate namedAfter P63 FINISHED
Object GMA Network E56238 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 Network | Statement: [GMA Kamuning station, namedAfter, GMA Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMA Network
Context triple: [GMA Kamuning station, namedAfter, GMA Network]
  • A. GMA Network chosen
    GMA Network is a major Philippine commercial television and radio broadcasting company known for its nationwide reach and popular entertainment and news programs.
  • B. Maharlika Broadcasting System
    Maharlika Broadcasting System was the former name of the Philippine government-owned television network now known as PTV, which serves as the state’s primary public broadcasting service.
  • C. Kapamilya Channel
    Kapamilya Channel is a Philippine pay television network that serves as a primary platform for ABS-CBN’s entertainment, news, and public affairs programming.
  • D. GMA Pinoy TV
    GMA Pinoy TV is an international Filipino television channel that broadcasts GMA Network’s programs to audiences outside the Philippines.
  • E. GMA News TV
    GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd082fe64819088a270f18190b172 completed May 7, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:49 p.m.