Triple

T15851015
Position Surface form Disambiguated ID Type / Status
Subject Measure R E384336 entity
Predicate localReturnPercentage P92182 FINISHED
Object portion of revenues returned to local jurisdictions 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: portion of revenues returned to local jurisdictions | Statement: [Measure R, localReturnPercentage, portion of revenues returned to local jurisdictions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localReturnPercentage
Context triple: [Measure R, localReturnPercentage, portion of revenues returned to local jurisdictions]
  • A. percentage chosen
    Indicates the proportion or share of one quantity relative to another, typically expressed as a value out of 100.
  • B. OnBasePercentage
    Indicates the frequency with which a batter successfully reaches base (by hit, walk, or hit-by-pitch) per plate appearance.
  • C. creditPercentage
    Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
  • D. percentageForChange
    Indicates the proportion or rate, expressed as a percentage, by which something increases, decreases, or otherwise changes relative to a reference value.
  • E. goalPercentage
    Indicates the proportion of a goal that has been achieved relative to its total target.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.