Triple

T17168398
Position Surface form Disambiguated ID Type / Status
Subject Agul language E416664 entity
Predicate hasAlternativeName P39 FINISHED
Object Agulskij jazyk E416664 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: Agulskij jazyk | Statement: [Agul language, hasAlternativeName, Agulskij jazyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agulskij jazyk
Context triple: [Agul language, hasAlternativeName, Agulskij jazyk]
  • A. Agul language chosen
    The Agul language is a Northeast Caucasian language spoken primarily by the Agul people in southern Dagestan, Russia, known for its complex phonology and rich system of noun cases.
  • B. Zhitako language
    The Zhitako language is a lesser-known Niger-Congo language spoken in Nigeria, belonging to the Nupoid branch of the Volta–Niger subgroup.
  • C. Hocąk language
    Hocąk language is a Siouan language traditionally spoken by the Ho-Chunk (Winnebago) people of the North American Midwest.
  • D. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • E. Gupa-Abawa language
    The Gupa-Abawa language is a Nupoid language spoken by the Gupa and Abawa peoples of central Nigeria.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483d754c819089607cfc87d08d42 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.