Triple

T16273170
Position Surface form Disambiguated ID Type / Status
Subject Mytishchinsky District E395051 entity
Predicate hasBorderWith P224 FINISHED
Object Khimki E52717 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: Khimki | Statement: [Mytishchinsky District, hasBorderWith, Khimki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khimki
Context triple: [Mytishchinsky District, hasBorderWith, Khimki]
  • A. Khimki chosen
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • B. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
  • C. Sokolka
    Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
  • D. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • E. Kireyevsk
    Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025fb88488190a2979c75fba67b9d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:05 a.m.