Triple

T13224637
Position Surface form Disambiguated ID Type / Status
Subject FL E314844 entity
Predicate denotesJurisdictionLevel P6712 FINISHED
Object state 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: state | Statement: [FL, denotesJurisdictionLevel, state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denotesJurisdictionLevel
Context triple: [FL, denotesJurisdictionLevel, state]
  • A. jurisdictionLevel chosen
    Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
  • B. definedJurisdictionOf
    Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
  • C. organizationJurisdiction
    Indicates the legal or administrative area (such as a country, state, or city) within whose authority an organization operates or is governed.
  • D. typeOfJurisdiction
    Indicates the specific kind or category of legal authority or control that one jurisdiction holds in relation to a given legal or administrative context.
  • E. governmentJurisdiction
    Indicates the governmental body or authority that has legal power, control, or regulatory oversight over a given entity or activity.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3128348190836158467e9cfbe2 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bc938f081909f123bdf1263ff7f completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:19 p.m.