Triple

T5687706
Position Surface form Disambiguated ID Type / Status
Subject Middle Persian E125351 entity
Predicate influenced P9 FINISHED
Object Tajik Persian E122576 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: Tajik Persian | Statement: [Middle Persian, influenced, Tajik Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tajik Persian
Context triple: [Middle Persian, influenced, Tajik Persian]
  • A. Tajik language chosen
    The Tajik language is a variety of Persian spoken primarily in Tajikistan and written in the Cyrillic script.
  • B. Judeo-Tajik
    Judeo-Tajik is a Jewish ethnolect of the Tajik (Persian) language historically spoken by Central Asian Bukharan Jews, written in Hebrew script and enriched with Hebrew and Aramaic loanwords.
  • C. Uzbek
    Uzbek refers to a Turkic ethnic group primarily associated with Uzbekistan and surrounding regions of Central Asia, known for their distinct language, culture, and historical heritage.
  • D. Khorasani Azeri
    Khorasani Azeri is an alternative name for the Khorasani Turkic language, a Turkic variety spoken by communities in northeastern Iran.
  • E. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023be18a081908c72fb5b0e1852f9 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a43cce88190b8ac801018f05561 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.