Triple

T587417
Position Surface form Disambiguated ID Type / Status
Subject United States Court of Appeals for the Ninth Circuit E15187 entity
Predicate circuitSizeByGeography P15932 FINISHED
Object largest among United States courts of appeals 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: largest among United States courts of appeals | Statement: [United States Court of Appeals for the Ninth Circuit, circuitSizeByGeography, largest among United States courts of appeals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: circuitSizeByGeography
Context triple: [United States Court of Appeals for the Ninth Circuit, circuitSizeByGeography, largest among United States courts of appeals]
  • A. stateSize
    Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
  • B. numberOfDistricts
    Indicates the total count of districts associated with a given entity or area.
  • C. judicialCircuit
    Indicates the judicial circuit within which a legal entity, case, or jurisdiction is organized or falls under authority.
  • D. numberOfRegions
    Indicates the total count of distinct regions associated with or contained within a given entity.
  • E. geographicDiversityRequirement
    Indicates a requirement that entities involved must be distributed across different geographic areas or locations rather than concentrated in a single place.
  • F. None of above. chosen

Provenance (4 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9bf0cc8190a145ccd6fc501349 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494ca68448190a516b9c3525d8916 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985ada988190aaea628a9b55bca4 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.