Triple

T6148398
Position Surface form Disambiguated ID Type / Status
Subject Tani languages E137136 entity
Predicate hasMember P10 FINISHED
Object Bangni language E572281 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: Bangni language | Statement: [Tani languages, hasMember, Bangni language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangni language
Context triple: [Tani languages, hasMember, Bangni language]
  • A. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • B. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • C. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • D. Baigani language
    Baigani language is an indigenous Indo-Aryan language spoken by the Baiga people of central India, particularly in parts of Madhya Pradesh and Chhattisgarh.
  • E. Nyishi language chosen
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce07fb081909278088e9e2e2959 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141777d808190ad36b574356ca715 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:16 p.m.