Triple

T22566290
Position Surface form Disambiguated ID Type / Status
Subject Paylocity Holding Corporation E557959 entity
Predicate hasTradingCurrency P188 FINISHED
Object USD 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: USD | Statement: [Paylocity Holding Corporation, hasTradingCurrency, USD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USD
Context triple: [Paylocity Holding Corporation, hasTradingCurrency, USD]
  • A. USD
    USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
  • B. USD
    USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
  • C. USD(P)
    USD(P) is the senior U.S. Department of Defense official responsible for developing and overseeing national defense policy and strategic guidance.
  • D. US dollar chosen
    The US dollar is the official currency of the United States and the world’s primary reserve currency used widely in global trade and finance.
  • E. Dollar
    Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15faaa0b081908d5aa8f3ba1e3dd3 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.