Triple

T6099289
Position Surface form Disambiguated ID Type / Status
Subject Karao language E135953 entity
Predicate relatedTo P37 FINISHED
Object Kalanguya language E145997 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: Kalanguya language | Statement: [Karao language, relatedTo, Kalanguya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalanguya language
Context triple: [Karao language, relatedTo, Kalanguya language]
  • A. Kalanguya language chosen
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • B. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • C. Kalinago language
    The Kalinago language is an extinct Cariban language once spoken by the indigenous Kalinago (Island Carib) people of the Lesser Antilles in the Caribbean.
  • D. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • E. Banda-Kpagua language
    The Banda-Kpagua language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic and neighboring regions.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3970808190ba90f5e4235db9f2 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14158c4fc81908a42e431423284d2 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:13 p.m.