Triple

T10868308
Position Surface form Disambiguated ID Type / Status
Subject N.Y. Ct. App. E256580 entity
Predicate levelInStateJudiciary P71353 FINISHED
Object highest 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: highest | Statement: [N.Y. Ct. App., levelInStateJudiciary, highest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelInStateJudiciary
Context triple: [N.Y. Ct. App., levelInStateJudiciary, highest]
  • A. jurisdictionLevel
    Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
  • B. hadCourtLevel chosen
    Indicates the specific hierarchical level of the court at which a legal case or judicial action took place.
  • C. courtRank
    Indicates the formal hierarchical rank or status an individual holds within a court or courtly system.
  • D. judicialCircuit
    Indicates the judicial circuit within which a legal entity, case, or jurisdiction is organized or falls under authority.
  • E. hasJudiciary
    Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516f9b08819096b9438878bf36c9 completed April 9, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69d70d308dfc81908792f98cfb871392 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.