Triple

T1416060
Position Surface form Disambiguated ID Type / Status
Subject Bima–Sumba languages E31919 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Wejewa language E157755 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: Wejewa language | Statement: [Bima–Sumba languages, hasMemberLanguage, Wejewa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wejewa language
Context triple: [Bima–Sumba languages, hasMemberLanguage, Wejewa language]
  • A. Wewewa language chosen
    The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
  • B. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • C. Woleaian language
    The Woleaian language is a Micronesian language spoken primarily on the atolls of Woleai and nearby islands in the Federated States of Micronesia.
  • D. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • E. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5812abc819091894509e9d6bd77 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.