Triple

T17778119
Position Surface form Disambiguated ID Type / Status
Subject MP-68 E443824 entity
Predicate designedForTraffic P80729 FINISHED
Object high passenger volume 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: high passenger volume | Statement: [MP-68, designedForTraffic, high passenger volume]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedForTraffic
Context triple: [MP-68, designedForTraffic, high passenger volume]
  • A. roadBuiltFor
    Indicates that a road was constructed specifically to serve, provide access to, or support the use or needs of a particular entity.
  • B. hasTrafficFeature chosen
    Indicates that an entity possesses or is associated with a specific traffic-related characteristic, element, or infrastructure feature.
  • C. transportModeDesigned
    Indicates that one entity is a mode of transport specifically designed or intended for use by another entity.
  • D. transportationDesign
    Indicates a relationship where an entity is responsible for planning, creating, or specifying the form, function, or layout of a transportation system, vehicle, or related infrastructure.
  • E. roadwayCarries
    Indicates that a roadway serves as a route that supports or conveys a particular transportation facility, traffic flow, or designated 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
PD Predicate disambiguation batch_69e3d8d8e538819084f1584426b41d5e completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:12 a.m.