Triple

T12847320
Position Surface form Disambiguated ID Type / Status
Subject Mandla district E307213 entity
Predicate localLanguage P1252 FINISHED
Object Baiga language E484503 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: Baiga language | Statement: [Mandla district, localLanguage, Baiga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baiga language
Context triple: [Mandla district, localLanguage, Baiga language]
  • A. Baigani language chosen
    Baigani language is an indigenous Indo-Aryan language spoken by the Baiga people of central India, particularly in parts of Madhya Pradesh and Chhattisgarh.
  • B. Bariai language
    The Bariai language is an Austronesian language spoken by the Bariai people of New Britain in Papua New Guinea.
  • C. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • D. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • E. 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.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.