Triple

T9543080
Position Surface form Disambiguated ID Type / Status
Subject Vykhino E230204 entity
Predicate hasExitTo P29827 FINISHED
Object Vykhino district E849368 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: Vykhino district | Statement: [Vykhino, hasExitTo, Vykhino district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vykhino district
Context triple: [Vykhino, hasExitTo, Vykhino district]
  • A. Vykhino district chosen
    Vykhino District is a residential and transport-linked area in the southeastern part of Moscow, Russia, known for its large housing estates and proximity to major metro and rail hubs.
  • B. Boksitogorsky District
    Boksitogorsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its forested landscapes and bauxite (aluminum ore) deposits.
  • C. Butyrsky District
    Butyrsky District is a residential and historically industrial administrative district in the north of Moscow, Russia.
  • D. Iultinsky District
    Iultinsky District is a remote administrative district in Russia’s Chukotka Autonomous Okrug, known for its Arctic climate, sparse population, and mining and port settlements like Egvekinot.
  • E. Gatchinsky District
    Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c265fcc819095a67f1270cadeec completed April 9, 2026, 3:25 a.m.
Created at: March 30, 2026, 8:01 p.m.