Triple

T23123203
Position Surface form Disambiguated ID Type / Status
Subject Pay As You Earn E576954 entity
Predicate hasAlternativeName P39 FINISHED
Object PAYE 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: PAYE | Statement: [Pay As You Earn, hasAlternativeName, PAYE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PAYE
Context triple: [Pay As You Earn, hasAlternativeName, PAYE]
  • A. PAYE tax system chosen
    The PAYE tax system is the United Kingdom’s mechanism for collecting income tax and National Insurance directly from employees’ wages or pensions throughout the year.
  • B. PAYGO
    PAYGO is a U.S. federal budget rule that requires new spending or tax changes to be offset so they do not increase the federal deficit.
  • C. PAYA
    PAYA is the ICAO airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
  • D. PAYC
    PAYC is the stock ticker symbol for Paycom Software, Inc., a U.S.-based provider of cloud-based human capital management and payroll software.
  • E. Sage Payroll
    Sage Payroll is a payroll management software solution from Sage Group that helps businesses automate and manage employee pay, tax calculations, and compliance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e517a0481909829a73fdf255d1c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.