Triple

T11530233
Position Surface form Disambiguated ID Type / Status
Subject Report on Roads and Canals E273397 entity
Predicate proposesFunding P72661 FINISHED
Object use of federal revenues for infrastructure 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: use of federal revenues for infrastructure | Statement: [Report on Roads and Canals, proposesFunding, use of federal revenues for infrastructure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposesFunding
Context triple: [Report on Roads and Canals, proposesFunding, use of federal revenues for infrastructure]
  • A. possibleAdditionalFunding
    Indicates that there is a potential for securing or providing further financial resources beyond what has already been allocated or committed.
  • B. fundingComponent
    Indicates that one entity serves as a financial contributor or funding source for another entity or activity.
  • C. additionalFunding
    Indicates that one entity provides or allocates extra financial resources beyond an initial or existing amount to another entity or project.
  • D. fundingFocus chosen
    Indicates that one entity’s funding is directed toward or prioritized for a particular target, theme, or area of activity.
  • E. seeksFundingFrom
    Indicates that one entity is actively trying to obtain financial support or investment from another entity.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839878948190b170e64629d6f2db completed April 10, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.