Triple

T13588443
Position Surface form Disambiguated ID Type / Status
Subject Kereta Api Indonesia E324630 entity
Predicate headquartersLocation P62 FINISHED
Object Indonesia E3541 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: Indonesia | Statement: [Kereta Api Indonesia, headquartersLocation, Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indonesia
Context triple: [Kereta Api Indonesia, headquartersLocation, Indonesia]
  • A. Indonesia chosen
    Indonesia is a large Southeast Asian nation made up of thousands of islands, known for its diverse cultures, significant natural resources, and status as one of the world’s largest emerging economies.
  • B. Indonesia Raya
    Indonesia Raya is the patriotic song that proclaims Indonesia’s independence and unity, serving as the country’s national anthem.
  • C. Javan
    Javan is a surname most notably associated with Ali Javan, the Iranian-American physicist and co-inventor of the gas laser.
  • D. Nusantara
    Nusantara is Indonesia’s planned new national capital city, being developed on the island of Borneo to replace Jakarta as the country’s administrative center.
  • E. Bali
    Bali is a popular Indonesian island province renowned for its tropical beaches, vibrant Hindu culture, and status as a major international tourism and conference destination.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb054c6008190839384ce26e8f71a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.