Triple

T16615973
Position Surface form Disambiguated ID Type / Status
Subject Lampung script E403695 entity
Predicate hasAlternateName P39 FINISHED
Object Aksara Lampung E403695 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: Aksara Lampung | Statement: [Lampung script, hasAlternateName, Aksara Lampung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aksara Lampung
Context triple: [Lampung script, hasAlternateName, Aksara Lampung]
  • A. Lampung script chosen
    Lampung script is an indigenous abugida used for writing the Lampung language of southern Sumatra, Indonesia, derived from older Sumatran scripts.
  • B. Sundanese script
    The Sundanese script is an abugida used historically and in modern times to write the Sundanese language of West Java, Indonesia.
  • C. Lampung language
    Lampung language is an Austronesian language spoken by the Lampung people of southern Sumatra, Indonesia, with its own traditional writing system and several regional dialects.
  • D. Sasak script
    The Sasak script is a traditional Brahmic-derived writing system historically used by the Sasak people of Lombok, Indonesia, to write the Sasak language and related local dialects.
  • E. Rejang script
    Rejang script is an indigenous Brahmic-derived writing system used primarily for the Rejang language of southwestern Sumatra, Indonesia.
  • 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.