Triple

T17168671
Position Surface form Disambiguated ID Type / Status
Subject Godoberi language E416670 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Tindi language E794196 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: Tindi language | Statement: [Godoberi language, hasNeighboringLanguage, Tindi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tindi language
Context triple: [Godoberi language, hasNeighboringLanguage, Tindi language]
  • A. Tindi language chosen
    The Tindi language is a Northeast Caucasian language spoken by the Tindi people in Dagestan, Russia, known for its complex grammar and limited number of speakers.
  • B. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • C. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • D. Didinga language
    The Didinga language is a Surmic language spoken primarily by the Didinga people in the Eastern Equatoria region of South Sudan.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.