Triple

T13168461
Position Surface form Disambiguated ID Type / Status
Subject Harela E312912 entity
Predicate languageContext P36 FINISHED
Object Kumaoni language E541216 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: Kumaoni language | Statement: [Harela, languageContext, Kumaoni language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumaoni language
Context triple: [Harela, languageContext, Kumaoni language]
  • A. Kumaoni language chosen
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • B. Kharia language
    Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
  • C. Rengma language
    Rengma language is a Tibeto-Burman language spoken primarily by the Rengma Naga people in the northeastern region of India.
  • D. Tharawal language
    Tharawal language is an Australian Aboriginal language traditionally spoken by the Tharawal people of coastal New South Wales, south of Sydney.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2e03c481909909b8f10c7e8ffc completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf92c1881909d387dcf50d8d09f completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.