Triple

T22222264
Position Surface form Disambiguated ID Type / Status
Subject London strategic road network E549239 entity
Predicate environmentObjective P99026 FINISHED
Object reduce congestion 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: reduce congestion | Statement: [London strategic road network, environmentObjective, reduce congestion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentObjective
Context triple: [London strategic road network, environmentObjective, reduce congestion]
  • A. environmentalProtectionGoal
    Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
  • B. environmentalImpactGoal chosen
    Indicates a goal or target set to influence, reduce, or manage the environmental impact associated with an entity or activity.
  • C. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • D. environmentalOutcome
    Indicates the resulting impact or consequence that an action, event, or condition has on the environment.
  • E. environmentRole
    Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b91f8d48190b828fcde59620ff5 completed April 28, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69e71b4dcc408190a30429fb08fcf39e completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:37 p.m.