Triple

T5576286
Position Surface form Disambiguated ID Type / Status
Subject Akhmad Kadyrov Mosque E146326 entity
Predicate locatedIn P40 FINISHED
Object Grozny 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 | Statement: [Akhmad Kadyrov Mosque, locatedIn, Grozny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grozny
Context triple: [Akhmad Kadyrov Mosque, locatedIn, Grozny]
  • 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. Elista
    Elista is the capital city of the Republic of Kalmykia in Russia, known as a cultural and administrative center of the Kalmyk people and for its prominent Buddhist temples and chess-themed landmarks.
  • E. Cheboksary
    Cheboksary is a major city on the Volga River in western Russia and the capital of the Chuvash Republic.
  • 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_69c0a139a20c819085f0f4b5105b3aef completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:37 p.m.