Triple

T1023246
Position Surface form Disambiguated ID Type / Status
Subject Iranian languages E22084 entity
Predicate hasMajorLanguage P207 FINISHED
Object Yaghnobi language E123647 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 language | Statement: [Iranian languages, hasMajorLanguage, Yaghnobi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaghnobi language
Context triple: [Iranian languages, hasMajorLanguage, Yaghnobi language]
  • A. Pamir languages chosen
    The Pamir languages are a group of Eastern Iranian languages spoken primarily in the mountainous Pamir region of Tajikistan, Afghanistan, and surrounding areas.
  • B. Dargin
    Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
  • C. Nuristani languages
    Nuristani languages are a small, distinct group of Indo-Iranian languages spoken primarily in the remote Nuristan region of eastern Afghanistan.
  • D. Khowar
    Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
  • E. Lezgian
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e0f8908190bfe0a4cd8b31dfed completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c12604c8190b3ce04c96b0000f1 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:41 p.m.