Triple

T4009438
Position Surface form Disambiguated ID Type / Status
Subject Cathedral of Christ the Saviour E90606 entity
Predicate locatedIn P40 FINISHED
Object Moscow city centre E308539 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: Moscow city centre | Statement: [Cathedral of Christ the Saviour, locatedIn, Moscow city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow city centre
Context triple: [Cathedral of Christ the Saviour, locatedIn, Moscow city centre]
  • A. Moscow city center chosen
    Moscow city center is the historic and administrative heart of Russia’s capital, encompassing landmarks such as the Kremlin, Red Square, and major government and cultural institutions.
  • B. 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.
  • C. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • D. Theatre Square, Moscow
    Theatre Square in Moscow is a historic central square renowned as a cultural hub, surrounded by landmark institutions including the Bolshoi Theatre.
  • E. Moscow Central Diameters
    Moscow Central Diameters is a system of suburban commuter rail lines in Moscow and the surrounding region that operates with metro-like frequency and integration into the city’s public transit network.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa8579288190940487ad07e38de0 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c6ae0ec819099c229a4cfe926f2 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.