Triple

T5330182
Position Surface form Disambiguated ID Type / Status
Subject Allinge-Sandvig E123285 entity
Predicate locatedInRegion P40 FINISHED
Object Hovedstaden E132519 NE 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: Hovedstaden | Statement: [Allinge-Sandvig, locatedInRegion, Hovedstaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hovedstaden
Context triple: [Allinge-Sandvig, locatedInRegion, Hovedstaden]
  • A. Hovedstaden chosen
    Hovedstaden is the Capital Region of Denmark, encompassing Copenhagen and surrounding areas as one of the country’s main administrative regions.
  • B. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • C. Huvudsta
    Huvudsta is a district in the Stockholm urban area of Sweden, known for its residential neighborhoods, parks, and proximity to central Stockholm.
  • D. The Capital City
    The Capital City is a nickname for Springfield, Illinois, highlighting its role as the state’s governmental center and seat of the Illinois state capitol.
  • E. Hat City
    Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd859552d8819080758bdd7c43c66a completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b396c08190be60bcb9ac933b5e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.