Triple

T28795037
Position Surface form Disambiguated ID Type / Status
Subject North–South high-speed railway (proposed) E727061 entity
Predicate fundingModelConsidered P59 FINISHED
Object public investment 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: public investment | Statement: [North–South high-speed railway (proposed), fundingModelConsidered, public investment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingModelConsidered
Context triple: [North–South high-speed railway (proposed), fundingModelConsidered, public investment]
  • A. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • B. includesFundingFor
    Indicates that one entity’s financial resources or budget allocation explicitly cover or provide funding for another entity, project, or activity.
  • C. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • D. fundingCharacteristics
    Indicates the nature, terms, and key attributes of how something is funded or financially supported.
  • E. fundingStatus
    Indicates the current state or condition of financial support or backing associated with an entity or activity.
  • 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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ee40088190b71e1219407690d0 completed May 2, 2026, 8:05 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:25 a.m.