Triple

T22271229
Position Surface form Disambiguated ID Type / Status
Subject Talk 'N Text Tropang Texters E550480 entity
Predicate shortName P43 FINISHED
Object Talk 'N Text 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: Talk 'N Text | Statement: [Talk 'N Text Tropang Texters, shortName, Talk 'N Text]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talk 'N Text
Context triple: [Talk 'N Text Tropang Texters, shortName, Talk 'N Text]
  • A. Talk 'N Text Tropang Texters chosen
    Talk 'N Text Tropang Texters is a professional basketball team in the Philippine Basketball Association (PBA), known for its multiple championships and corporate backing by the PLDT group.
  • B. Smart Communications
    Smart Communications is a major Philippine telecommunications company providing mobile, internet, and digital communication services nationwide.
  • C. Tigo
    Tigo is a multinational telecommunications company that provides mobile, internet, and digital services across several countries in Latin America and Africa.
  • D. Globe Telecom
    Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
  • E. Mobily
    Mobily is a major Saudi Arabian telecommunications company providing mobile and internet services across the Kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141c056cc819088dae6f2b9a1d526 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.