Triple

T9100786
Position Surface form Disambiguated ID Type / Status
Subject Aviamotornaya E218145 entity
Predicate locatedInArea P40 FINISHED
Object eastern Moscow E256871 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: eastern Moscow | Statement: [Aviamotornaya, locatedInArea, eastern Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Moscow
Context triple: [Aviamotornaya, locatedInArea, eastern Moscow]
  • A. eastern Moscow chosen
    Eastern Moscow is a broad area of Russia’s capital city encompassing predominantly residential and industrial districts located to the east of the city center.
  • B. Moscow city center
    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.
  • C. Serpukhov
    Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
  • D. Domodedovo Urban Okrug
    Domodedovo Urban Okrug is a municipal formation in Moscow Oblast, Russia, that encompasses the town of Domodedovo and its surrounding territory.
  • E. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9711babc8190a336812dd08d9c73 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0182d8ea08190b4337a77b47019a5 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.