Triple

T17168300
Position Surface form Disambiguated ID Type / Status
Subject Dargwa language E416662 entity
Predicate hasAlternativeName P39 FINISHED
Object Dargin language E416662 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: Dargin language | Statement: [Dargwa language, hasAlternativeName, Dargin language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargin language
Context triple: [Dargwa language, hasAlternativeName, Dargin language]
  • A. Dargin
    Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
  • B. Dargwa language chosen
    The Dargwa language is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • C. Khinalug language
    The Khinalug language is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
  • D. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • E. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • 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_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.