Triple

T4408230
Position Surface form Disambiguated ID Type / Status
Subject Pendleton Civil Service Reform Act E94785 entity
Predicate initialCoverage P56092 FINISHED
Object about 10 percent of federal government positions 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: about 10 percent of federal government positions | Statement: [Pendleton Civil Service Reform Act, initialCoverage, about 10 percent of federal government positions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initialCoverage
Context triple: [Pendleton Civil Service Reform Act, initialCoverage, about 10 percent of federal government positions]
  • A. primaryCoverage
    Indicates that one entity serves as the main or principal source of coverage (such as insurance or protection) for another entity.
  • B. providesCoverage
    Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
  • C. hasCoverage
    Indicates that one entity provides insurance or protection coverage for another entity or subject.
  • D. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • E. typeOfCoverage
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • F. None of above. chosen

Provenance (4 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3548cb92881908a3f98466da8e0a2 completed March 13, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69b34f5b36a881909bf2e970aa523390 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3509997208190933f167f7e20ccfa completed March 12, 2026, 11:47 p.m.
Created at: March 12, 2026, 11:28 p.m.