Triple

T1825054
Position Surface form Disambiguated ID Type / Status
Subject Paveletsky railway station E40633 entity
Predicate connectsTo P845 FINISHED
Object Moscow city centre 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: Moscow city centre | Statement: [Paveletsky railway station, connectsTo, Moscow city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow city centre
Context triple: [Paveletsky railway station, connectsTo, Moscow city centre]
  • A. 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.
  • B. 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.
  • C. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • D. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • E. 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.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0003d308190a024f8c03c5f5dad completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9af6d3c8190a9047d06f38f210d completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.