Triple

T19658729
Position Surface form Disambiguated ID Type / Status
Subject Hurontario Street E472018 entity
Predicate hasPlannedImprovement P4375 FINISHED
Object streetscape upgrades with LRT project 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: streetscape upgrades with LRT project | Statement: [Hurontario Street, hasPlannedImprovement, streetscape upgrades with LRT project]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedImprovement
Context triple: [Hurontario Street, hasPlannedImprovement, streetscape upgrades with LRT project]
  • A. hasImproved
    Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
  • B. hasImprovementProgram
    Indicates that an entity is associated with, participates in, or is covered by a program specifically designed to improve its performance, condition, or quality.
  • C. plannedUpgrade chosen
    Indicates that an entity has a scheduled or intended improvement or enhancement to be carried out in the future.
  • D. seeksToImprove
    Indicates an intentional effort by one entity to make another entity or condition better than its current state.
  • E. improvesOn
    Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641485ce481908b3860fa5e3a9f6e completed April 20, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69e514e941008190898d978d7bde91e4 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:45 p.m.