Triple

T7059482
Position Surface form Disambiguated ID Type / Status
Subject Saguling Reservoir E164178 entity
Predicate operator P179 FINISHED
Object Perusahaan Listrik Negara E628695 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: Perusahaan Listrik Negara | Statement: [Saguling Reservoir, operator, Perusahaan Listrik Negara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perusahaan Listrik Negara
Context triple: [Saguling Reservoir, operator, Perusahaan Listrik Negara]
  • A. Perusahaan Listrik Negara chosen
    Perusahaan Listrik Negara is Indonesia’s state-owned electricity company responsible for generating, transmitting, and distributing electric power across the country.
  • B. PLN
    PLN is the Polish złoty, the official national currency of Poland.
  • C. PLN
    PLN is a major social-democratic political party in Costa Rica, formally known as the National Liberation Party.
  • D. PLN
    PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
  • E. PT Pembangkitan Jawa-Bali
    PT Pembangkitan Jawa-Bali is an Indonesian power generation company that operates and manages major electricity assets, including large hydropower facilities.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788a8c4b481908193ffc795b75796 completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:38 p.m.