Triple

T3103963
Position Surface form Disambiguated ID Type / Status
Subject Kebir-Jami Mosque E64785 entity
Predicate hasNameInLanguage P15 FINISHED
Object Crimean Tatar E42653 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: Crimean Tatar | Statement: [Kebir-Jami Mosque, hasNameInLanguage, Crimean Tatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crimean Tatar
Context triple: [Kebir-Jami Mosque, hasNameInLanguage, Crimean Tatar]
  • A. Crimean Tatar language chosen
    The Crimean Tatar language is a Turkic language traditionally spoken by the indigenous Crimean Tatar people of the Crimean Peninsula.
  • B. Crimean Tatars
    Crimean Tatars are a Turkic ethnic group indigenous to the Crimean Peninsula, with a distinct language, culture, and history marked by periods of autonomy, repression, and diaspora.
  • C. Karachay-Balkar
    Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
  • D. Tatar
    Tatars are a Turkic ethnic group native to Russia and surrounding regions, known for their distinct language, culture, and historical role in the Volga and Crimean areas.
  • E. Gagauz
    The Gagauz are a Turkic-speaking Orthodox Christian ethnic group primarily living in Moldova and neighboring regions of Eastern Europe.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261eb2e708190b192574d3f5862e6 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:03 p.m.