Triple

T27027768
Position Surface form Disambiguated ID Type / Status
Subject Florida General Revenue Fund E680834 entity
Predicate revenueForecastedBy P84091 FINISHED
Object Florida Revenue Estimating Conference NE NERFINISHED

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: Florida Revenue Estimating Conference | Statement: [Florida General Revenue Fund, revenueForecastedBy, Florida Revenue Estimating Conference]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revenueForecastedBy
Context triple: [Florida General Revenue Fund, revenueForecastedBy, Florida Revenue Estimating Conference]
  • A. forecastUsing
    Indicates that one entity generates or derives a forecast by using information, methods, or data from another entity.
  • B. foreseesImplementationPeriodOf
    Indicates that one entity anticipates or plans the future time frame during which another entity will be implemented or carried out.
  • C. sharesProphet
    Indicates that two entities recognize or are associated with the same prophet.
  • D. predictedIn
    Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
  • E. providesForecastFor chosen
    Indicates that one entity supplies or delivers a forecast (such as a prediction or projection) specifically concerning 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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62232f1048190be9e9467cd181055 completed May 2, 2026, 4:11 p.m.
PD Predicate disambiguation batch_69f61b3ee7b08190a0a1bc5d26b757aa completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 7:12 a.m.