Triple

T3190955
Position Surface form Disambiguated ID Type / Status
Subject Malaita E66821 entity
Predicate hasLanguage P15 FINISHED
Object Fataleka language E157637 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: Fataleka language | Statement: [Malaita, hasLanguage, Fataleka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fataleka language
Context triple: [Malaita, hasLanguage, Fataleka language]
  • A. Fataleka language chosen
    The Fataleka language is an Austronesian language spoken by the Fataleka people on Malaita in the Solomon Islands.
  • B. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • E. Refaluwasch language
    The Refaluwasch language is an Austronesian language spoken by the Carolinian people of the Northern Mariana Islands, particularly on Saipan and nearby islands.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e7d0d081908b1c36bb909a58bf completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba19b2881908a298e6fb99a058e completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.