Triple

T9634574
Position Surface form Disambiguated ID Type / Status
Subject Kapingamarangi E232895 entity
Predicate hasLanguage P15 FINISHED
Object Kapingamarangi language E164392 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: Kapingamarangi language | Statement: [Kapingamarangi, hasLanguage, Kapingamarangi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapingamarangi language
Context triple: [Kapingamarangi, hasLanguage, Kapingamarangi language]
  • A. Kapingamarangi language chosen
    The Kapingamarangi language is a Polynesian outlier language spoken primarily on Kapingamarangi Atoll in the Federated States of Micronesia.
  • B. Segai language
    The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
  • C. Tariana language
    The Tariana language is an endangered Arawakan language spoken in the northwest Amazon region of Brazil, known for its complex verbal morphology and extensive system of evidentiality.
  • D. Keapara language
    The Keapara language is an Austronesian language of coastal Papua New Guinea spoken by the Keapara people in Central Province.
  • E. Waigali language
    The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2a0e2c8190ab5aaa223b1e1cde completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18237e2608190a3e7d45231a35efd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.