Triple

T17119350
Position Surface form Disambiguated ID Type / Status
Subject Jacques Cartier Bridge E415423 entity
Predicate hasLightingInstallation P1280 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: [Jacques Cartier Bridge, hasLightingInstallation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightingInstallation
Context triple: [Jacques Cartier Bridge, hasLightingInstallation, yes]
  • A. hasLighting chosen
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. hasLightingImprovements
    Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
  • C. lightingRequirement
    Indicates the level or type of light that is needed for something to function, grow, or be used properly.
  • D. hasLightingEffect
    Indicates that one entity applies, produces, or is associated with a particular lighting effect on another entity or environment.
  • E. lightingControlledBy
    Indicates that the lighting system or device is operated, regulated, or influenced by a specified controller or control mechanism.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8086a388190a655a044feccab14 completed April 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69e35d6b1b988190a8d6b6fe78c35e59 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:36 a.m.