Triple

T1308699
Position Surface form Disambiguated ID Type / Status
Subject Puerto Rico Highways and Transportation Authority E27938 entity
Predicate usesFundingSource P59 FINISHED
Object toll revenues 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: toll revenues | Statement: [Puerto Rico Highways and Transportation Authority, usesFundingSource, toll revenues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFundingSource
Context triple: [Puerto Rico Highways and Transportation Authority, usesFundingSource, toll revenues]
  • A. authorizesFundingFor
    Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
  • B. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • C. usesCurrency
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • D. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • E. supportsSpendingCategory
    Indicates that one entity allows, enables, or is compatible with making expenditures in a specified spending category.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.