Triple

T570149
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania courts E13643 entity
Predicate hasCourtLevel P8214 FINISHED
Object trial courts 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: trial courts | Statement: [Pennsylvania courts, hasCourtLevel, trial courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtLevel
Context triple: [Pennsylvania courts, hasCourtLevel, trial courts]
  • A. hasLowerCourt
    Indicates that one court functions as a subordinate or inferior court within the judicial hierarchy of another court.
  • B. hasAppellateJurisdictionIn
    Indicates that one legal authority has the power to review and decide appeals arising from cases within a specified court, region, or jurisdiction.
  • C. hasTypeOfCourt chosen
    Indicates that an entity is associated with or classified by a specific type or category of court.
  • D. isMajorCourtIn
    Indicates that a court is a primary or high-level judicial body within the specified jurisdiction or region.
  • E. highestCourtOf
    Indicates that one entity is the supreme judicial authority or top-level court within the jurisdiction or legal system of 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b057e708190b4e5975516e58993 completed March 1, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69a494c2caac819086ab316fa49d324c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.