Triple

T5576320
Position Surface form Disambiguated ID Type / Status
Subject Akhmad Kadyrov Mosque E146326 entity
Predicate municipality P852 FINISHED
Object Grozny Urban Okrug E26451 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: Grozny Urban Okrug | Statement: [Akhmad Kadyrov Mosque, municipality, Grozny Urban Okrug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grozny Urban Okrug
Context triple: [Akhmad Kadyrov Mosque, municipality, Grozny Urban Okrug]
  • A. Grozny chosen
    Grozny is the capital and largest city of the Chechen Republic in southwestern Russia, known for its turbulent recent history and extensive post-war reconstruction.
  • B. Makhachkala
    Makhachkala is the largest city and main political, economic, and cultural center of the Russian republic of Dagestan, located on the western shore of the Caspian Sea.
  • C. Naberezhnye Chelny
    Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
  • D. Stavropol
    Stavropol is a major administrative, cultural, and economic center in southwestern Russia, serving as the capital of Stavropol Krai in the North Caucasus region.
  • E. Baksan Urban Okrug
    Baksan Urban Okrug is a municipal formation in the Kabardino-Balkar Republic of Russia that encompasses the town of Baksan and its surrounding territory as a single urban administrative unit.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020697fbc8190bd084d7896db3ab8 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b08980748190a86ccffd9ff94fbf completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:37 p.m.