Triple

T17817818
Position Surface form Disambiguated ID Type / Status
Subject Regeringsgatan E444891 entity
Predicate hasPedestrianSections P129016 FINISHED
Object true 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: true | Statement: [Regeringsgatan, hasPedestrianSections, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPedestrianSections
Context triple: [Regeringsgatan, hasPedestrianSections, true]
  • A. hasPedestrianArea
    Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
  • B. hasPedestrianPhase
    Indicates that a traffic signal includes a dedicated phase during which pedestrians are allowed to cross.
  • C. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • D. hasPedestrianFunction
    Indicates that an entity serves a role, purpose, or function specifically related to pedestrians or pedestrian use.
  • E. hasPedestrianZoneStatus
    Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
  • F. None of above. chosen

Provenance (4 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48880457c81908214741d6cd7a1ee completed April 19, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
PDg Predicate description generation batch_69e3db7704588190a34a422421152173 completed April 18, 2026, 7:28 p.m.
Created at: April 10, 2026, 10:14 a.m.