Triple

T12524686
Position Surface form Disambiguated ID Type / Status
Subject Bihari languages E299404 entity
Predicate hasPart P35 FINISHED
Object Nagpuri E301323 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: Nagpuri | Statement: [Bihari languages, hasPart, Nagpuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagpuri
Context triple: [Bihari languages, hasPart, Nagpuri]
  • A. Nagpuri chosen
    Nagpuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in and around the present-day state of Jharkhand.
  • B. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • C. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • D. Mirpuri
    Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
  • E. Gojri
    Gojri is an Indo-Aryan language traditionally spoken by the Gujjar community across parts of northern India and Pakistan.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eae71fc819083ec63dbfbf32465 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.