Triple

T3095428
Position Surface form Disambiguated ID Type / Status
Subject Darby Lumber Company E64582 entity
Predicate affectedByDecision P25489 FINISHED
Object federal wage and hour regulations 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: federal wage and hour regulations | Statement: [Darby Lumber Company, affectedByDecision, federal wage and hour regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affectedByDecision
Context triple: [Darby Lumber Company, affectedByDecision, federal wage and hour regulations]
  • A. associatedWithDecision
    Indicates a relationship where an entity is linked or connected to a particular decision, such that the decision is relevant to, influenced by, or otherwise tied to that entity.
  • B. areAffectedBy chosen
    Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
  • C. influencedCourtDecision
    Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
  • D. decisionsSubjectTo
    Indicates that certain decisions are constrained by, dependent on, or must comply with specified conditions, approvals, or oversight.
  • E. decisionsAre
    Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23b04188190919a69987d2c180f completed March 8, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69ad9df06ed88190809f0683122caa5a completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.