Triple

T15851051
Position Surface form Disambiguated ID Type / Status
Subject Measure R (Los Angeles County) E384337 entity
Predicate revenueUseRestriction P9389 FINISHED
Object transportation-related purposes 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: transportation-related purposes | Statement: [Measure R (Los Angeles County), revenueUseRestriction, transportation-related purposes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revenueUseRestriction
Context triple: [Measure R (Los Angeles County), revenueUseRestriction, transportation-related purposes]
  • A. revenueUse chosen
    Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
  • B. licensingRestriction
    Indicates that there is a constraint or condition imposed on the use, distribution, or modification of something under a specific license.
  • C. restrictedFromUseFor
    Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
  • D. notableRestriction
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • E. eligibleUses
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • 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.