Triple

T1527465
Position Surface form Disambiguated ID Type / Status
Subject Tglg E32366 entity
Predicate scriptSystem P11936 FINISHED
Object Baybayin script E5135 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: Baybayin script | Statement: [Tglg, scriptSystem, Baybayin script]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baybayin script
Context triple: [Tglg, scriptSystem, Baybayin script]
  • A. Baybayin chosen
    Baybayin is an ancient pre-colonial Philippine script used to write several native languages before the widespread adoption of the Latin alphabet.
  • B. 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.
  • C. Batak script
    Batak script is an indigenous writing system from northern Sumatra historically used to write the various Batak languages.
  • D. 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.
  • E. 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.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90804607881909a6a6438f6a308af completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401616ec81908edd9dcb9f4a0184 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.