Triple

T15501168
Position Surface form Disambiguated ID Type / Status
Subject Drottninggatan E378955 entity
Predicate pedestrianizedSection P6741 FINISHED
Object central Drottninggatan 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: central Drottninggatan | Statement: [Drottninggatan, pedestrianizedSection, central Drottninggatan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pedestrianizedSection
Context triple: [Drottninggatan, pedestrianizedSection, central Drottninggatan]
  • A. pedestrianizedAreas
    Indicates areas where vehicle traffic is restricted or removed so that pedestrians have priority use of the space.
  • B. pedestrianizedSince
    Indicates that an area or street has been designated for pedestrian use only starting from a specific point in time.
  • C. pedestrianOnly chosen
    Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
  • D. pedestrianizedDuring
    Indicates that a location or route is designated for pedestrian-only use during a specified time period or interval.
  • E. pedestrianRestrictions
    Indicates that there are specific rules or limitations governing where or how pedestrians may travel or access an area.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:54 a.m.