Triple

T2042508
Position Surface form Disambiguated ID Type / Status
Subject Eastern Iranian languages E44775 entity
Predicate hasLivingLanguage P20092 FINISHED
Object Yaghnobi E228135 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: Yaghnobi | Statement: [Eastern Iranian languages, hasLivingLanguage, Yaghnobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaghnobi
Context triple: [Eastern Iranian languages, hasLivingLanguage, Yaghnobi]
  • A. Yaghnobi chosen
    Yaghnobi is an Eastern Iranian language spoken by the Yaghnobi people of Tajikistan, considered a direct descendant of ancient Sogdian.
  • B. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • C. Fergana
    Fergana is a major city in eastern Uzbekistan, known as an administrative, cultural, and industrial center of the fertile Fergana Valley.
  • D. Karakalpak
    Karakalpak is a Turkic language spoken primarily by the Karakalpak people in northwestern Uzbekistan and surrounding regions.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271399a08190946b315f439b9b2f completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.