Triple

T22271233
Position Surface form Disambiguated ID Type / Status
Subject Talk 'N Text Tropang Texters E550480 entity
Predicate corporateBacker P33009 FINISHED
Object Smart Communications 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: Smart Communications | Statement: [Talk 'N Text Tropang Texters, corporateBacker, Smart Communications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smart Communications
Context triple: [Talk 'N Text Tropang Texters, corporateBacker, Smart Communications]
  • A. Smart Communications chosen
    Smart Communications is a major Philippine telecommunications company providing mobile, internet, and digital communication services nationwide.
  • B. Smart Telecom
    Smart Telecom is a Nepalese telecommunications company that operates as one of the country’s major mobile network providers.
  • C. Mobily
    Mobily is a major Saudi Arabian telecommunications company providing mobile and internet services across the Kingdom.
  • D. Telkom
    Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
  • E. Rakuten Mobile
    Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
  • 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.