Triple

T14406055
Position Surface form Disambiguated ID Type / Status
Subject President Judge of the Commonwealth Court of Pennsylvania E357198 entity
Predicate courtSpecialization P50505 FINISHED
Object civil cases 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: civil cases | Statement: [President Judge of the Commonwealth Court of Pennsylvania, courtSpecialization, civil cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: courtSpecialization
Context triple: [President Judge of the Commonwealth Court of Pennsylvania, courtSpecialization, civil cases]
  • A. legalSystemSpecialization
    Indicates that a legal system is specialized or tailored to address a particular domain, issue, or type of case within the broader legal framework.
  • B. courtStyle
    Indicates the manner or stylistic approach in which a court conducts its proceedings or presents its decisions.
  • C. courtCharacteristic chosen
    Indicates that a specified attribute or quality is associated with, or descriptive of, a particular court.
  • D. courtRole
    Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
  • E. decisionCourt
    Indicates that a particular court rendered the decision or judgment in a given legal case or proceeding.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908804048190a4fe58afc2e0a5b6 completed April 14, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69de2aa1b57881909a033eac8545c417 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.