Triple

T13961032
Position Surface form Disambiguated ID Type / Status
Subject Statutory Pay-As-You-Go Act of 2010 E335790 entity
Predicate scorecardsType P48244 FINISHED
Object five-year PAYGO scorecard 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: five-year PAYGO scorecard | Statement: [Statutory Pay-As-You-Go Act of 2010, scorecardsType, five-year PAYGO scorecard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scorecardsType
Context triple: [Statutory Pay-As-You-Go Act of 2010, scorecardsType, five-year PAYGO scorecard]
  • A. scoringType chosen
    Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
  • B. scores
    Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
  • C. scoresWhen
    Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
  • D. scoringRecord
    Indicates that there exists a record documenting a scoring event or outcome associated with the given entities.
  • E. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7b2f908190aa32f22298964746 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69de05a3ccf88190b45c742db483fa08 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:17 p.m.