Triple

T2108770
Position Surface form Disambiguated ID Type / Status
Subject Moscow Department of Transport E42455 entity
Predicate jurisdiction P82 FINISHED
Object City of Moscow E1747 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: City of Moscow | Statement: [Moscow Department of Transport, jurisdiction, City of Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Moscow
Context triple: [Moscow Department of Transport, jurisdiction, City of Moscow]
  • A. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • B. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • C. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • D. Saint Petersburg, Russian Empire
    Saint Petersburg, Russian Empire was the imperial capital and cultural center of Russia, renowned for its grand architecture, canals, and role as a major European metropolis.
  • E. Kitay-gorod
    Kitay-gorod is a historic central district of Moscow known for its medieval walls, important government and commercial buildings, and proximity to Red Square and the Kremlin.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbae03f308190841f5a419bb821f6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:43 p.m.