Triple

T3855812
Position Surface form Disambiguated ID Type / Status
Subject Cebuano people E90010 entity
Predicate historicalWritingSystem P1558 FINISHED
Object Baybayin 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 | Statement: [Cebuano people, historicalWritingSystem, Baybayin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baybayin
Context triple: [Cebuano people, historicalWritingSystem, Baybayin]
  • 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. Tagbanwa script
    Tagbanwa script is an indigenous Brahmic-derived writing system historically used by the Tagbanwa people of Palawan in the Philippines to write their native languages.
  • C. Hanunóo script
    The Hanunóo script is an indigenous Brahmic-derived syllabic writing system traditionally used by the Hanunóo Mangyan people of Mindoro in the Philippines.
  • D. 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.
  • E. 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.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec07d45081909b8f3e35eb710f4c completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.