Triple

T17274100
Position Surface form Disambiguated ID Type / Status
Subject Dargic languages E419340 entity
Predicate hasPart P35 FINISHED
Object Dargwa 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: Dargwa language | Statement: [Dargic languages, hasPart, Dargwa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargwa language
Context triple: [Dargic languages, hasPart, Dargwa language]
  • A. Dargwa language chosen
    The Dargwa language is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • B. Dawro language
    The Dawro language is an Omotic language of southwestern Ethiopia spoken by the Dawro people and closely related to Wolaytta.
  • C. Dagaare language
    The Dagaare language is a Gur language spoken primarily by the Dagaaba people in northwestern Ghana and parts of Burkina Faso and Ivory Coast.
  • D. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • E. Konda-Dora language
    Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4c209c81909c713ed78f2cb19a completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794d605481908b5e430c3142c203 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.