Triple

T9454889
Position Surface form Disambiguated ID Type / Status
Subject Committee on Taxation E227989 entity
Predicate typeOfTaxCovered P3166 FINISHED
Object income tax 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: income tax | Statement: [Committee on Taxation, typeOfTaxCovered, income tax]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfTaxCovered
Context triple: [Committee on Taxation, typeOfTaxCovered, income tax]
  • A. typeOfTaxpayerCovered
    Indicates the category or kind of taxpayer to which a particular rule, obligation, or provision applies.
  • B. typeOfCoverage
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • C. typeOfDiscriminationCovered
    Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
  • D. taxType chosen
    Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
  • E. typicallyCovers
    Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8e2c388190a4c5ee6e6d5f2585 completed April 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69cca5596ffc819097e9c8eefd4ef9b8 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:52 p.m.