Triple

T7106202
Position Surface form Disambiguated ID Type / Status
Subject Borisovskoye Cemetery, Moscow E165589 entity
Predicate partOf P40 FINISHED
Object Moscow urban area 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 urban area | Statement: [Borisovskoye Cemetery, Moscow, partOf, Moscow urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow urban area
Context triple: [Borisovskoye Cemetery, Moscow, partOf, Moscow urban area]
  • A. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • 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. Mosca
    Mosca is the cunning and manipulative servant in Ben Jonson’s play "Volpone," known for orchestrating deceptions and driving much of the plot’s dark comedy.
  • D. Atlant Moscow Oblast
    Atlant Moscow Oblast was a professional ice hockey club based in the Moscow region of Russia that competed in the Kontinental Hockey League (KHL).
  • E. Moscow–Saint Petersburg
    Moscow–Saint Petersburg is Russia’s busiest and most important intercity rail corridor, linking the nation’s capital with its second-largest city.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b9f13c8190a14898f241ec17a4 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8d23bc0819095b7a3bf09b8bacd completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:42 p.m.