Triple

T14568012
Position Surface form Disambiguated ID Type / Status
Subject Magahi people E341836 entity
Predicate nativeLanguage P151 FINISHED
Object Magahi language E179307 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: Magahi language | Statement: [Magahi people, nativeLanguage, Magahi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magahi language
Context triple: [Magahi people, nativeLanguage, Magahi language]
  • A. Magahi language chosen
    Magahi language is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions, closely related to languages like Bhojpuri and Maithili.
  • B. Magar language
    Magar language is a Sino-Tibetan language spoken primarily by the Magar ethnic community in central and western Nepal.
  • C. Malgana language
    The Malgana language is an Aboriginal Australian language traditionally spoken by the Malgana people of Western Australia’s Shark Bay region.
  • D. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • E. Manombai language
    The Manombai language is an Austronesian language spoken on the Aru Islands of eastern Indonesia.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.