Triple

T12968062
Position Surface form Disambiguated ID Type / Status
Subject Vyatka River E321320 entity
Predicate flowsThrough P225 FINISHED
Object Vyatskiye Polyany
Vyatskiye Polyany is a town in Kirov Oblast, Russia, known historically as an industrial center and river port.
E1019640 NE FINISHED

How this triple was built (4 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: Vyatskiye Polyany | Statement: [Vyatka River, flowsThrough, Vyatskiye Polyany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyatskiye Polyany
Context triple: [Vyatka River, flowsThrough, Vyatskiye Polyany]
  • A. Yazhelbitsy
    Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
  • B. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • C. Rybatskoye
    Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • D. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • E. Lesnoy Gorodok
    Lesnoy Gorodok is a suburban settlement in the Moscow region of Russia, known primarily as a residential community within the greater Moscow metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vyatskiye Polyany
Triple: [Vyatka River, flowsThrough, Vyatskiye Polyany]
Generated description
Vyatskiye Polyany is a town in Kirov Oblast, Russia, known historically as an industrial center and river port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vyatskiye Polyany
Target entity description: Vyatskiye Polyany is a town in Kirov Oblast, Russia, known historically as an industrial center and river port.
  • A. Yazhelbitsy
    Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
  • B. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • C. Rybatskoye
    Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • D. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • E. Lesnoy Gorodok
    Lesnoy Gorodok is a suburban settlement in the Moscow region of Russia, known primarily as a residential community within the greater Moscow metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f2cc588190bb771f999cd5fd46 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d744f0c081909340415fb4951a6e completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 8:32 p.m.