Triple

T17168276
Position Surface form Disambiguated ID Type / Status
Subject Dargwa language E416662 entity
Predicate GlottologName P6521 FINISHED
Object Dargwa E483539 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 | Statement: [Dargwa language, GlottologName, Dargwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargwa
Context triple: [Dargwa language, GlottologName, Dargwa]
  • A. Dargwa chosen
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • B. Dargun
    Dargun is a small town in northeastern Germany known for its historic monastery and castle complex set amid the rural lake and hill landscape of Mecklenburg.
  • C. Gundrak
    Gundrak is a troll-themed dungeon instance in World of Warcraft set in the Zul'Drak region of Northrend, featuring the Drakkari empire and their loa gods.
  • D. Darganata
    Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
  • E. Davigo
    Davigo is an Italian surname most notably associated with Piercamillo Davigo, a prominent magistrate and former member of Italy’s anti-corruption "Mani Pulite" (Clean Hands) investigation.
  • 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.