Triple

T3391043
Position Surface form Disambiguated ID Type / Status
Subject Pallava script E71417 entity
Predicate influenced P9 FINISHED
Object Sundanese script E39177 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: Sundanese script | Statement: [Pallava script, influenced, Sundanese script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundanese script
Context triple: [Pallava script, influenced, Sundanese script]
  • A. Sundanese script chosen
    The Sundanese script is an abugida used historically and in modern times to write the Sundanese language of West Java, Indonesia.
  • B. Javanese script
    The Javanese script is a traditional Brahmic-derived abugida used historically and culturally for writing the Javanese language, especially on the island of Java in Indonesia.
  • C. 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.
  • D. Batak script
    Batak script is an indigenous writing system from northern Sumatra historically used to write the various Batak languages.
  • E. Jawi script
    Jawi script is an Arabic-based writing system historically used for various Malayic languages in Southeast Asia, including Minangkabau, for religious, literary, and administrative purposes.
  • 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_69b367f0913c8190b0c45174011bec3b completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:14 p.m.