Triple

T4585042
Position Surface form Disambiguated ID Type / Status
Subject Anadyr Urban Okrug E101946 entity
Predicate hasTypeAccordingToRussianLaw P13676 FINISHED
Object municipal formation of urban okrug type 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: municipal formation of urban okrug type | Statement: [Anadyr Urban Okrug, hasTypeAccordingToRussianLaw, municipal formation of urban okrug type]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeAccordingToRussianLaw
Context triple: [Anadyr Urban Okrug, hasTypeAccordingToRussianLaw, municipal formation of urban okrug type]
  • A. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • B. hasLegalCodeCharacteristic
    Indicates that a legal code possesses a specified characteristic, feature, or property.
  • C. hasINN
    Indicates that a pharmaceutical product or substance is associated with a specific International Nonproprietary Name (INN) assigned by the World Health Organization.
  • D. legalCodeType
    Indicates the specific category or classification of a legal code that applies to an entity or situation.
  • E. statusInRussia chosen
    Indicates the legal, social, or operational condition or standing that something or someone has specifically within the context of Russia.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59056bb48190ba1e0b5beda9bdc4 completed March 20, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69bd522acbcc8190bf24d9517793a2c1 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:10 p.m.