Triple

T3391044
Position Surface form Disambiguated ID Type / Status
Subject Pallava script E71417 entity
Predicate influenced P9 FINISHED
Object Batak script 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 script | Statement: [Pallava script, influenced, Batak script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batak script
Context triple: [Pallava script, influenced, Batak script]
  • A. Batak script chosen
    Batak script is an indigenous writing system from northern Sumatra historically used to write the various Batak languages.
  • 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. 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.
  • D. Balinese script
    Balinese script is an abugida used primarily on the Indonesian island of Bali for writing the Balinese language, as well as liturgical and historical texts in Sanskrit and Old Javanese.
  • E. Borama script
    The Borama script is an indigenous writing system historically used by some Somali communities to represent the Somali language before the adoption of more widespread scripts.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb6682c708190b76a7a16cee7c5aa completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.