Triple

T16615955
Position Surface form Disambiguated ID Type / Status
Subject Lampung script E403695 entity
Predicate usedIn P98 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: [Lampung script, usedIn, Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indonesia
Context triple: [Lampung script, usedIn, 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. Javan
    Javan is a biblical figure traditionally regarded as an ancestor of the peoples of Greece and the surrounding regions.
  • E. 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.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e375494260819099b6988857c52dde completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007daef18481908c3628a3466300ce completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.