Triple

T37890171
Position Surface form Disambiguated ID Type / Status
Subject Granville Bridge E945109 entity
Predicate hasPedestrianImprovementProjects P59807 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: [Granville Bridge, hasPedestrianImprovementProjects, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPedestrianImprovementProjects
Context triple: [Granville Bridge, hasPedestrianImprovementProjects, yes]
  • A. hasPedestrianisationProjects chosen
    Indicates that an entity is involved in or associated with projects aimed at restricting or redesigning areas for pedestrian use.
  • B. hasRoadImprovementProject
    Indicates that there is a planned, ongoing, or completed project aimed at improving or upgrading a road or roadway infrastructure between the related entities.
  • C. hasGreenInfrastructureProject
    Indicates that an entity is associated with or involved in a project specifically focused on green or sustainable infrastructure.
  • D. hasRoadImprovements
    Indicates that road-related enhancements, upgrades, or maintenance activities have been carried out or are planned for a given location or roadway segment.
  • E. hasPedestrianSections
    Indicates that an object (such as a route, road, or area) includes one or more sections specifically designated for pedestrian use.
  • 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_69f76ef02668819089e7940c4001af5e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: May 3, 2026, 4:19 p.m.