Triple

T26166451
Position Surface form Disambiguated ID Type / Status
Subject Assigned Counsel Plan (18-B panel attorneys) E654264 entity
Predicate attorneysAre P160351 FINISHED
Object paid by the government 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: paid by the government | Statement: [Assigned Counsel Plan (18-B panel attorneys), attorneysAre, paid by the government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attorneysAre
Context triple: [Assigned Counsel Plan (18-B panel attorneys), attorneysAre, paid by the government]
  • A. legalProfessionIncludes
    Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
  • B. numberOfLawyers
    Indicates the quantity of lawyers associated with a given entity or situation.
  • C. allowsRepresentationByLawyers
    Indicates that one party permits or recognizes the right of another party to be represented by lawyers in a given context or proceeding.
  • D. legalProfessionRole
    Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
  • E. employsAsLawyer
    Indicates that one entity hires or retains another entity specifically to provide legal representation or services as a lawyer.
  • 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_69ee5b44391c81908bdbd8813ba9aa99 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c3f0f7c8190b30ecf9e77e8dd5a completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f600be0de88190989611e952b03117 completed May 2, 2026, 1:48 p.m.
Created at: April 26, 2026, 8:32 p.m.