Triple

T28111436
Position Surface form Disambiguated ID Type / Status
Subject ABS-CBN Broadcast Center E710498 entity
Predicate networkHeadquartersOf P141133 FINISHED
Object ABS-CBN 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: ABS-CBN | Statement: [ABS-CBN Broadcast Center, networkHeadquartersOf, ABS-CBN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: networkHeadquartersOf
Context triple: [ABS-CBN Broadcast Center, networkHeadquartersOf, ABS-CBN]
  • A. employerHeadquarters
    Indicates the location where an employer’s main corporate offices or central administrative operations are based.
  • B. hasHeadquartersFunctionFor chosen
    Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
  • C. hasOrganizationHeadquarters
    Indicates that an organization’s main administrative or operational center is located at a specific place.
  • D. associationHeadquarters
    Indicates the location where an association’s main administrative offices or central headquarters are based.
  • E. majorCompanyHeadquartered
    Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
  • 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_69ef9b71fdb081908b4a61cd7ff147c1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 27, 2026, 9:11 p.m.