Triple

T9161915
Position Surface form Disambiguated ID Type / Status
Subject M10 highway E219843 entity
Predicate majorCitiesAlongRoute P65699 FINISHED
Object Vyshny Volochyok E63408 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: Vyshny Volochyok | Statement: [M10 highway, majorCitiesAlongRoute, Vyshny Volochyok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyshny Volochyok
Context triple: [M10 highway, majorCitiesAlongRoute, Vyshny Volochyok]
  • A. Vyshny Volochyok chosen
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • B. Sorochyntsi
    Sorochyntsi is a village in central Ukraine best known as the birthplace of writer Nikolai Gogol and for its traditional fairs and cultural heritage.
  • C. Krymsky Val
    Krymsky Val is a notable street in central Moscow, Russia, known for its proximity to Gorky Park and several major cultural institutions.
  • D. Khreshchatyi Yar
    Khreshchatyi Yar is the historic ravine area in central Kyiv whose name gave rise to the city’s main thoroughfare, Khreshchatyk Street.
  • E. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054770a0c819095cf0a7cc8d1a057 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:21 p.m.