Triple

T21194884
Position Surface form Disambiguated ID Type / Status
Subject Bakhtiari Luri E522300 entity
Predicate consideredPartOf P52847 FINISHED
Object Luri macrolanguage NE NERFINISHED

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: Luri macrolanguage | Statement: [Bakhtiari Luri, consideredPartOf, Luri macrolanguage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luri macrolanguage
Context triple: [Bakhtiari Luri, consideredPartOf, Luri macrolanguage]
  • A. Luri language chosen
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Evenki macrolanguage
    The Evenki macrolanguage is a group of closely related Tungusic languages spoken by Evenki peoples across Siberia, China, and Mongolia.
  • C. Luric languages
    Luric languages are a group of closely related Western Iranian languages spoken primarily by the Lur people in western and southwestern Iran.
  • D. Thura-Yura languages
    Thura-Yura languages are a group of closely related Australian Aboriginal languages traditionally spoken in parts of South Australia.
  • E. Luri language continuum
    The Luri language continuum is a group of closely related Southwestern Iranian dialects spoken primarily by Lur and Bakhtiari communities in western and southwestern Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.