Triple

T11888152
Position Surface form Disambiguated ID Type / Status
Subject Central Ostrobothnia E282843 entity
Predicate hasRegionalSymbol P49410 FINISHED
Object regional coat of arms 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: regional coat of arms | Statement: [Central Ostrobothnia, hasRegionalSymbol, regional coat of arms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegionalSymbol
Context triple: [Central Ostrobothnia, hasRegionalSymbol, regional coat of arms]
  • A. hasRegionalName
    Indicates that an entity is known by a specific name or designation within a particular region or locality.
  • B. hasRegionCode
    Indicates that an entity is associated with a specific regional identifier or code.
  • C. hasRegionalVariationsIn
    Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
  • D. regionallySymbolicIn chosen
    Indicates that something serves as a symbol or emblem specifically within a particular region or geographic area.
  • E. hasRegionalIdentity
    Indicates that an entity possesses or is associated with a specific regional or local identity.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.