Triple

T8681281
Position Surface form Disambiguated ID Type / Status
Subject Port of Cirebon E206043 entity
Predicate governedBy P46 FINISHED
Object Pelindo III E658851 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: Pelindo III | Statement: [Port of Cirebon, governedBy, Pelindo III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pelindo III
Context triple: [Port of Cirebon, governedBy, Pelindo III]
  • A. Pelindo III chosen
    Pelindo III is an Indonesian state-owned port management company that operates and develops several key seaports across central and eastern Indonesia.
  • B. Pelindo I
    Pelindo I is an Indonesian state-owned port operator responsible for managing and developing several key ports in the western region of Indonesia.
  • 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. PT Semen Gresik
    PT Semen Gresik is a major Indonesian cement manufacturing company and one of the key producers in the national cement industry.
  • E. Perum Jasa Tirta I
    Perum Jasa Tirta I is an Indonesian state-owned water resources management company responsible for operating and maintaining major river basins and related infrastructure.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.