Triple

T11888697
Position Surface form Disambiguated ID Type / Status
Subject Охотный Ряд E282857 entity
Predicate proximityToGovernment P80106 FINISHED
Object расположен рядом с основными федеральными органами власти LITERAL 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: расположен рядом с основными федеральными органами власти | Statement: [Охотный Ряд, proximityToGovernment, расположен рядом с основными федеральными органами власти]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proximityToGovernment
Context triple: [Охотный Ряд, proximityToGovernment, расположен рядом с основными федеральными органами власти]
  • A. nearbyPoliticalEntity chosen
    Indicates that one political entity is geographically close to another political entity, without necessarily sharing a border.
  • B. relationshipToNationalGovernment
    Indicates the nature or type of connection an entity has with a national-level government.
  • C. governedNear
    Indicates that one entity exercises governing authority over an area or entity that is geographically close to another specified entity or location.
  • D. positionOnGovernment
    Indicates an entity’s stance, role, or status within a governmental structure or political office.
  • E. associatedWithGovernmentOfficial
    Indicates a relationship in which an entity has a connection, involvement, or affiliation with a government official.
  • F. None of above.

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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.