Triple

T2923692
Position Surface form Disambiguated ID Type / Status
Subject Main Line Third Track Project E78792 entity
Predicate safetyImpact P30182 FINISHED
Object reduced conflicts between trains and road traffic 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: reduced conflicts between trains and road traffic | Statement: [Main Line Third Track Project, safetyImpact, reduced conflicts between trains and road traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyImpact
Context triple: [Main Line Third Track Project, safetyImpact, reduced conflicts between trains and road traffic]
  • A. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • B. safetyRelevant chosen
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • C. safetyRegulationEffect
    Indicates how a safety regulation influences or changes the conditions, behaviors, or outcomes associated with the regulated entities.
  • D. safetyGoal
    Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
  • E. notableSafety
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97fd89d88190bc7db4b39058ae3a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9603ddd88190b8bf91bc7517cc21 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:55 p.m.