Triple

T7580000
Position Surface form Disambiguated ID Type / Status
Subject Karay-a language E179460 entity
Predicate hasDialect P4251 FINISHED
Object Antiqueño Karay-a E675070 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: Antiqueño Karay-a | Statement: [Karay-a language, hasDialect, Antiqueño Karay-a]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antiqueño Karay-a
Context triple: [Karay-a language, hasDialect, Antiqueño Karay-a]
  • A. Karakays
    Karakays are an ethnic community historically associated with the region of Gözleve (modern-day Yevpatoria) in Crimea.
  • B. Karay-a
    Karay-a is an Austronesian language spoken primarily by the Karay-a people in the Western Visayas region of the Philippines.
  • C. Daang Matuwid
    Daang Matuwid is the reform-focused governance platform and anti-corruption banner associated with the presidency of Benigno S. Aquino III in the Philippines.
  • D. Iloilo Karay-a chosen
    Iloilo Karay-a is a regional variety of the Karay-a language spoken primarily in the province of Iloilo in the Philippines.
  • E. Ikalahan
    Ikalahan is an indigenous people of the northern Philippines whose name is also used for their native Kalanguya language.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f975bbc08190aec30f902eaea494 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683deac48190bf953088c6c232d5 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.