Triple

T14100572
Position Surface form Disambiguated ID Type / Status
Subject Købmagergade E339368 entity
Predicate partOf P40 FINISHED
Object Strøget area E1078961 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: Strøget area | Statement: [Købmagergade, partOf, Strøget area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strøget area
Context triple: [Købmagergade, partOf, Strøget area]
  • A. Strøget chosen
    Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
  • B. Djursland
    Djursland is a rural peninsula in eastern Jutland, Denmark, known for its varied coastline, beaches, and popular holiday and nature tourism.
  • C. Lillebælt
    Lillebælt is the narrow strait in Denmark that separates the Jutland Peninsula from the island of Funen and connects the Baltic Sea to the Kattegat.
  • D. Sprogø
    Sprogø is a small Danish island in the Great Belt known for its strategic location and role as a central support point for the Great Belt Bridge connecting Zealand and Funen.
  • E. Tromsøysundet area
    The Tromsøysundet area is a coastal region in northern Norway centered around the strait by Tromsøya, known for its Arctic landscapes, maritime activity, and proximity to the city of Tromsø.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.