Triple

T17103137
Position Surface form Disambiguated ID Type / Status
Subject Optus E415028 entity
Predicate parentCompany P254 FINISHED
Object Singtel E882775 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: Singtel | Statement: [Optus, parentCompany, Singtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singtel
Context triple: [Optus, parentCompany, Singtel]
  • A. Singapore Telecommunications Limited chosen
    Singapore Telecommunications Limited, commonly known as Singtel, is a major Singapore-based telecommunications company providing mobile, broadband, and enterprise services across Asia and beyond.
  • B. Telkom
    Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
  • C. Globe Telecom
    Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
  • D. Axiata Group
    Axiata Group is a leading telecommunications conglomerate based in Malaysia with operations across multiple Asian markets.
  • E. Telenor
    Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2495c88190b5b16a006a994faf completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ffbe808190a24e827331ee4a6c completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.