Triple

T13053684
Position Surface form Disambiguated ID Type / Status
Subject UPEIDA E327510 entity
Predicate infrastructureFocus P91743 FINISHED
Object expressways 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: expressways | Statement: [UPEIDA, infrastructureFocus, expressways]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: infrastructureFocus
Context triple: [UPEIDA, infrastructureFocus, expressways]
  • A. infrastructureImpact
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • B. infrastructureNeed
    Indicates that an entity requires the development, improvement, or provision of infrastructure to meet its functional or operational needs.
  • C. parallelInfrastructure
    Indicates that two or more infrastructure elements are arranged or operate in parallel to each other, typically serving similar functions simultaneously.
  • D. infrastructureProjects chosen
    Indicates that there are planned, ongoing, or completed construction or development works related to physical or organizational infrastructure involving the associated entities.
  • E. infrastructureLevel
    Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98a9829b48190b23624b6b3df4600 completed April 10, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69d9803aca4c8190b1015cd159cc47a9 completed April 10, 2026, 10:56 p.m.
Created at: April 9, 2026, 8:58 p.m.