Triple

T3449379
Position Surface form Disambiguated ID Type / Status
Subject Magisterial District Courts of Pennsylvania E72755 entity
Predicate roleInCivilProcess P45619 FINISHED
Object adjudicate small claims 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: adjudicate small claims | Statement: [Magisterial District Courts of Pennsylvania, roleInCivilProcess, adjudicate small claims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInCivilProcess
Context triple: [Magisterial District Courts of Pennsylvania, roleInCivilProcess, adjudicate small claims]
  • A. legalCaseRole
    Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
  • B. roleAtCourt chosen
    Indicates the specific position, function, or status an entity holds within a court or courtly setting.
  • C. legalSystemRole
    Indicates the specific function, capacity, or position an entity holds within a legal or judicial system.
  • D. relatedLegalProcess
    Indicates that there is an associated legal proceeding or action that is connected to, arises from, or is otherwise relevant to the referenced entity or event.
  • E. courtRole
    Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba71f4a4819089d08b871cc9b16f completed March 8, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.