Triple

T16990176
Position Surface form Disambiguated ID Type / Status
Subject Литейный мост E412172 entity
Predicate имеетЗначение P18302 FINISHED
Object транспортная артерия городского значения 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: транспортная артерия городского значения | Statement: [Литейный мост, имеетЗначение, транспортная артерия городского значения]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: имеетЗначение
Context triple: [Литейный мост, имеетЗначение, транспортная артерия городского значения]
  • A. isValuedFor
    Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
  • B. hasValue chosen
    Indicates that an entity is associated with a specific numerical, textual, or otherwise defined value.
  • C. hasCoreValue
    Indicates that an entity possesses or is characterized by a fundamental guiding principle or core belief.
  • D. valueDefinedBy
    Indicates that the value of one entity is determined, specified, or constrained by another entity.
  • E. value
    Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27fbaa0819099f79fc74d211647 completed April 18, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.