Triple

T24753800
Position Surface form Disambiguated ID Type / Status
Subject Arbatskaya metro station E619221 entity
Predicate hasArtisticDesign P1529 FINISHED
Object yes 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: yes | Statement: [Arbatskaya metro station, hasArtisticDesign, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtisticDesign
Context triple: [Arbatskaya metro station, hasArtisticDesign, yes]
  • A. hasDesign chosen
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • B. hasArtisticContent
    Indicates that something contains or embodies artistic material, expression, or creative work.
  • C. hasArtisticOrigin
    Indicates that something originates from, is derived from, or is rooted in an artistic source, style, or tradition.
  • D. hasArtisticStrategy
    Indicates that an entity employs or is associated with a particular artistic approach, method, or plan in creating or presenting art.
  • E. hasArtFeature
    Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
  • 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_69e2fabb349881908a13a212a0221a63 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 4:25 a.m.