Triple

T9685212
Position Surface form Disambiguated ID Type / Status
Subject PALAPA B1 E234389 entity
Predicate operator P179 FINISHED
Object Perumtel E673864 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: Perumtel | Statement: [PALAPA B1, operator, Perumtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perumtel
Context triple: [PALAPA B1, operator, Perumtel]
  • A. Perumtel chosen
    Perumtel was Indonesia’s state-owned telecommunications company responsible for operating domestic and international communication services before its reorganization into modern telecom entities.
  • B. Telkom
    Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
  • C. PT PAL Indonesia
    PT PAL Indonesia is a state-owned Indonesian shipbuilding company known for constructing naval and commercial vessels, including modern landing platform docks for regional and international clients.
  • D. United Telecommunications
    United Telecommunications was a major American telecommunications company that evolved through mergers and rebranding into what became Sprint Corporation.
  • E. Globe Telecom
    Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.