Triple

T10687520
Position Surface form Disambiguated ID Type / Status
Subject Philippine Austronesian languages E251916 entity
Predicate historicallyUsedWritingSystem P26603 FINISHED
Object Baybayin and related indigenous scripts LITERAL 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 and related indigenous scripts | Statement: [Philippine Austronesian languages, historicallyUsedWritingSystem, Baybayin and related indigenous scripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyUsedWritingSystem
Context triple: [Philippine Austronesian languages, historicallyUsedWritingSystem, Baybayin and related indigenous scripts]
  • A. writingSystemHistorically
    Indicates that one writing system was historically used for, associated with, or served as a predecessor to another writing system.
  • B. writingSystemUsedIn chosen
    Indicates that a particular writing system is employed for written communication within a given language, region, or context.
  • C. writingSystemUsedSince
    Indicates that a particular writing system has been in use starting from a specified point in time or period.
  • D. isMostWidelyUsedWritingSystem
    Indicates that the subject writing system is used by more people or in more contexts than any other writing system.
  • E. writingSystemDevelopedFor
    Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
  • F. None of above.

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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69d6dd8cc0788190b4c02a772e4b58b3 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:10 p.m.