Triple

T1824838
Position Surface form Disambiguated ID Type / Status
Subject Domodedovo E40627 entity
Predicate partOf P40 FINISHED
Object Moscow metropolitan 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 metropolitan area | Statement: [Domodedovo, partOf, Moscow metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow metropolitan area
Context triple: [Domodedovo, partOf, Moscow metropolitan area]
  • A. 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).
  • B. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. 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.
  • D. Moscow Governorate
    Moscow Governorate was a major administrative division of the Russian Empire centered around Moscow, serving as a key political, economic, and cultural region.
  • E. Serpukhov
    Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
  • 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_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.