Triple

T14057100
Position Surface form Disambiguated ID Type / Status
Subject Vanløse E338246 entity
Predicate roadAccessVia P9041 FINISHED
Object Godthåbsvej E889181 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: Godthåbsvej | Statement: [Vanløse, roadAccessVia, Godthåbsvej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godthåbsvej
Context triple: [Vanløse, roadAccessVia, Godthåbsvej]
  • A. Godthåbsvej chosen
    Godthåbsvej is a major thoroughfare in the Copenhagen area, running through the municipality of Frederiksberg and known for its mix of residential buildings, shops, and urban amenities.
  • B. Jyllingevej
    Jyllingevej is a major road in Copenhagen, Denmark, connecting the district of Vanløse with surrounding suburban areas.
  • C. Gammel Kongevej
    Gammel Kongevej is a major historic shopping and thoroughfare street in the Frederiksberg district of Copenhagen, known for its boutiques, cafés, and urban atmosphere.
  • D. Vesterbrogade
    Vesterbrogade is one of Copenhagen’s main thoroughfares, known for its shops, cafés, and historic buildings leading from the city center into the Vesterbro district.
  • E. Grøndals Parkvej
    Grøndals Parkvej is a street in the Copenhagen district of Vanløse, Denmark, serving as a local thoroughfare through the residential area.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.