Triple

T31308043
Position Surface form Disambiguated ID Type / Status
Subject New York common law courts E798387 entity
Predicate didNotPrimarilyHandle P136065 FINISHED
Object equitable matters 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: equitable matters | Statement: [New York common law courts, didNotPrimarilyHandle, equitable matters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: didNotPrimarilyHandle
Context triple: [New York common law courts, didNotPrimarilyHandle, equitable matters]
  • A. doesNotUsuallyHandle
    Indicates that an entity is generally not responsible for or typically involved in performing a particular task, role, or type of item, even if it might do so in rare or exceptional cases.
  • B. doesNotPrimarilyAddress
    Indicates that something fails to mainly focus on, deal with, or concern a particular topic, issue, or entity.
  • C. notPrimaryResponsibility chosen
    Indicates that the referenced task, role, or duty is not the main or principal responsibility of the specified entity.
  • D. doesNotPrimarilyUse
    Indicates that the subject entity does not mainly or predominantly employ, rely on, or make use of the specified object or method.
  • E. doesNotPrimarilyProvide
    Indicates that one entity does not mainly or chiefly supply, offer, or furnish a particular service, resource, or function to another entity.
  • 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_69f224e0bd4c8190aab9b29a73f7aa3c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6a0ea04888190ac3a813b603bcb5c completed May 3, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69f69fe463248190aa78128abeab1183 completed May 3, 2026, 1:07 a.m.
Created at: April 29, 2026, 9:14 p.m.