Triple

T37572455
Position Surface form Disambiguated ID Type / Status
Subject GMA Regional TV E934724 entity
Predicate hasParentChannel P8080 FINISHED
Object GMA Network NE NERFINISHED

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 Regional TV, hasParentChannel, GMA Network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParentChannel
Context triple: [GMA Regional TV, hasParentChannel, GMA Network]
  • A. hasChannel chosen
    Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
  • B. hasSisterChannel
    Indicates that one media channel is related to another as its sister channel, typically under common ownership or branding.
  • C. hasParentExchange
    Indicates that one entity is associated with, or belongs to, a higher-level or originating exchange entity that acts as its parent in an exchange hierarchy.
  • D. hasCanalOrChannel
    Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
  • E. hasParentTopic
    Indicates that a given topic is hierarchically subordinate to, or conceptually contained within, another broader parent topic.
  • 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_69f76ecd99148190be327e391a70f5b6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a005be4615c8190a710ab704a46c564 completed May 10, 2026, 10:20 a.m.
PD Predicate disambiguation batch_6a005b8b1cc08190850a392761b84e74 completed May 10, 2026, 10:18 a.m.
Created at: May 3, 2026, 4:17 p.m.