Triple

T37789529
Position Surface form Disambiguated ID Type / Status
Subject Radiation Exposure Compensation Act E942041 entity
Predicate providesCompensationRangeUSD P88497 FINISHED
Object $50,000 to $100,000 depending on claimant category 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: $50,000 to $100,000 depending on claimant category | Statement: [Radiation Exposure Compensation Act, providesCompensationRangeUSD, $50,000 to $100,000 depending on claimant category]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesCompensationRangeUSD
Context triple: [Radiation Exposure Compensation Act, providesCompensationRangeUSD, $50,000 to $100,000 depending on claimant category]
  • A. providedCompensationAmount chosen
    Indicates the specific amount of compensation that was given or agreed to be given in relation to an action, event, or obligation.
  • B. compensationRate
    Indicates the rate or amount of payment provided in exchange for a specified unit of work, time, or service.
  • C. IBISCompensation
    Indicates a relationship where an entity provides or receives compensation specifically associated with the IBIS (Integrated Business Information System) context.
  • D. payScale
    Indicates the compensation level or salary range assigned to an entity, typically reflecting its relative pay or grade within a structured system.
  • E. careerEarningsApprox
    Indicates an approximate total amount of money an entity has earned over the course of its career.
  • 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fee25dbca481909e6f1c255122b3a8 completed May 9, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69fee1c8915c8190b08b63e42881f1a9 completed May 9, 2026, 7:27 a.m.
Created at: May 3, 2026, 4:19 p.m.