Triple

T18928836
Position Surface form Disambiguated ID Type / Status
Subject Akeanon E463044 entity
Predicate closelyRelatedTo P37 FINISHED
Object Kinaray-a language NE NERFINISHED

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: Kinaray-a language | Statement: [Akeanon, closelyRelatedTo, Kinaray-a language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinaray-a language
Context triple: [Akeanon, closelyRelatedTo, Kinaray-a language]
  • A. Kinaray-a language chosen
    Kinaray-a language is an Austronesian language spoken primarily in the Western Visayas region of the Philippines, especially in the province of Antique and neighboring areas.
  • B. Basay language
    The Basay language is an extinct Austronesian language once spoken by indigenous peoples in northern Taiwan.
  • C. Kalagan language
    The Kalagan language is an Austronesian language spoken by the Kalagan people of Mindanao in the southern Philippines, particularly in areas such as Sarangani.
  • D. Surigaonon language
    Surigaonon language is an Austronesian language spoken primarily in the Surigao region of Mindanao in the southern Philippines.
  • E. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bea84081908fbe657fb4657c0b completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.