Triple

T15485161
Position Surface form Disambiguated ID Type / Status
Subject Tanahun District E377025 entity
Predicate hasLanguage P15 FINISHED
Object Magar language E701227 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: Magar language | Statement: [Tanahun District, hasLanguage, Magar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magar language
Context triple: [Tanahun District, hasLanguage, Magar language]
  • A. Magar language chosen
    Magar language is a Sino-Tibetan language spoken primarily by the Magar ethnic community in central and western Nepal.
  • B. Magahi language
    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.
  • 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. Khaling language
    The Khaling language is a Kiranti Sino-Tibetan language spoken by the Khaling ethnic group in eastern Nepal, noted for its complex verbal morphology and rich consonant system.
  • E. Monpa language
    The Monpa language is a Tibeto-Burman language spoken by the Monpa people of Arunachal Pradesh in northeastern India and adjacent regions of Tibet.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d1170088190a911f8ea8d2a2066 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:46 a.m.