Triple

T8036879
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen Cathedral E187129 entity
Predicate locatedIn P40 FINISHED
Object Indre By E368543 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: Indre By | Statement: [Copenhagen Cathedral, locatedIn, Indre By]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indre By
Context triple: [Copenhagen Cathedral, locatedIn, Indre By]
  • A. Indre By chosen
    Indre By is the historic city center of Copenhagen, Denmark, known for its cobblestone streets, canals, and many of the capital’s main cultural and architectural landmarks.
  • B. Nørrebro
    Nørrebro is a vibrant, multicultural district in Copenhagen known for its lively street life, diverse communities, and mix of historic and modern urban culture.
  • C. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • D. Nørreport
    Nørreport is one of central Copenhagen’s busiest transport hubs, combining metro, S-train, and regional rail services in a major underground station.
  • E. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.