Triple

T7262474
Position Surface form Disambiguated ID Type / Status
Subject Kayeli language E159687 entity
Predicate neighboringLanguage P16383 FINISHED
Object Lisela language E609566 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: Lisela language | Statement: [Kayeli language, neighboringLanguage, Lisela language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisela language
Context triple: [Kayeli language, neighboringLanguage, Lisela language]
  • A. Lisela language chosen
    The Lisela language is an Austronesian language spoken in the Central Maluku region of Indonesia, primarily on Buru Island.
  • B. Kulisusu language
    The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
  • C. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • D. Lashi language
    Lashi language is a Tibeto-Burman language spoken by the Lashi people, primarily in parts of Myanmar and China, and is closely related to Jingpho and other languages of the Bodo–Konyak–Jingpho branch.
  • E. Lusei language
    The Lusei language is a Kuki-Chin language of the Tibeto-Burman family spoken primarily by the Lusei (Mizo) people in northeastern India, especially in Mizoram.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac8bc908190b0e4da5474ecb62f completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c3bfb48190877ba03ab0851a68 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.