Triple

T16615992
Position Surface form Disambiguated ID Type / Status
Subject Lampung script E403695 entity
Predicate relatedTo P37 FINISHED
Object Batak scripts E123201 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: Batak scripts | Statement: [Lampung script, relatedTo, Batak scripts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batak scripts
Context triple: [Lampung script, relatedTo, Batak scripts]
  • A. Batak script chosen
    Batak script is an indigenous writing system from northern Sumatra historically used to write the various Batak languages.
  • B. Bima script
    Bima script is an indigenous writing system historically used by the Bima people of Sumbawa Island in Indonesia to record their language and cultural traditions.
  • C. Tagbanwa script
    Tagbanwa script is an indigenous Brahmic-derived writing system historically used by the Tagbanwa people of Palawan in the Philippines to write their native languages.
  • D. Sundanese script
    The Sundanese script is an abugida used historically and in modern times to write the Sundanese language of West Java, Indonesia.
  • E. Lontara script
    The Lontara script is an indigenous writing system traditionally used by the Bugis and Makassarese peoples of South Sulawesi, Indonesia, to write their Austronesian languages.
  • 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.