Triple

T19972438
Position Surface form Disambiguated ID Type / Status
Subject Mexican railroads E480110 entity
Predicate infrastructureChallenge P112493 FINISHED
Object single-track bottlenecks 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: single-track bottlenecks | Statement: [Mexican railroads, infrastructureChallenge, single-track bottlenecks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: infrastructureChallenge
Context triple: [Mexican railroads, infrastructureChallenge, single-track bottlenecks]
  • A. infrastructureNeed
    Indicates that an entity requires the development, improvement, or provision of infrastructure to meet its functional or operational needs.
  • B. infrastructureFocusArea chosen
    Indicates the specific aspect or domain of infrastructure that an entity, project, or activity is primarily concerned with or directed toward.
  • C. infrastructureImpact
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • D. constructionChallenges
    Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
  • E. proposedInfrastructure
    Indicates that an infrastructure project or facility has been suggested or planned but not yet approved, built, or implemented between the related entities.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bca94c0819095c902a411c4c4b8 completed April 20, 2026, 5 p.m.
PD Predicate disambiguation batch_69e537fae79c81909eae39500766d0b6 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:54 p.m.