Triple

T13297973
Position Surface form Disambiguated ID Type / Status
Subject Nakanai people E316734 entity
Predicate language P15 FINISHED
Object Nakanai language E619302 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: Nakanai language | Statement: [Nakanai people, language, Nakanai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakanai language
Context triple: [Nakanai people, language, Nakanai language]
  • A. Nakanai language chosen
    The Nakanai language is an Austronesian language spoken by the Nakanai people of New Britain in Papua New Guinea.
  • B. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • C. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • D. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • E. Ishkashimi language
    The Ishkashimi language is an Eastern Iranian Pamir language spoken by a small community in the Ishkashim region of Afghanistan and Tajikistan, noted for its endangered status and distinct phonological and grammatical features.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716dd0cd88190b0ae81b402fc31cf completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.