Triple

T720260
Position Surface form Disambiguated ID Type / Status
Subject Balinese script E14599 entity
Predicate hasAlternateName P39 FINISHED
Object Balinese alphabet E14599 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: Balinese alphabet | Statement: [Balinese script, hasAlternateName, Balinese alphabet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balinese alphabet
Context triple: [Balinese script, hasAlternateName, Balinese alphabet]
  • A. Balinese script chosen
    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.
  • 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. Kawi script
    Kawi script is an ancient Brahmic-derived writing system historically used across Java and other parts of Southeast Asia to write Old Javanese and related languages.
  • D. Baybayin
    Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
  • E. Boko alphabet
    The Boko alphabet is a Latin-based writing system used primarily for transcribing the Hausa language in West Africa.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e3c22f08190b71734d9605a92f6 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.