Triple

T20823895
Position Surface form Disambiguated ID Type / Status
Subject Hammeren peninsula E512644 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Hovedstaden NE NERFINISHED

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: [Hammeren peninsula, locatedInAdministrativeTerritory, Hovedstaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hovedstaden
Context triple: [Hammeren peninsula, locatedInAdministrativeTerritory, 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. Copenhagen
    Copenhagen is a popular American smokeless tobacco (chewing tobacco/dip) brand known for its long history and strong presence in the U.S. market.
  • D. Hankø
    Hankø is a small Norwegian island and resort area known for its sailing, summer tourism, and scenic coastal landscapes.
  • E. Copenhaver
    Copenhaver is a surname of likely English or German origin borne by various individuals, including Eleanor Copenhaver.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.