Triple

T19973976
Position Surface form Disambiguated ID Type / Status
Subject Frederikshavn E493638 entity
Predicate hasSportsClub P346 FINISHED
Object Frederikshavn fI 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: Frederikshavn fI | Statement: [Frederikshavn, hasSportsClub, Frederikshavn fI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederikshavn fI
Context triple: [Frederikshavn, hasSportsClub, Frederikshavn fI]
  • A. Frederikshavn Municipality
    Frederikshavn Municipality is a coastal municipality in northern Denmark known for its maritime industry, ferry connections, and strategic naval facilities.
  • B. Frederiksen
    Frederiksen is a common Danish surname borne by various notable figures in Denmark, including politicians, athletes, and artists.
  • C. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • D. Filskov
    Filskov is a small village in central Jutland, Denmark, known as the birthplace of LEGO founder Ole Kirk Christiansen.
  • E. Frederikshavn chosen
    Frederikshavn is a port town in northern Jutland, Denmark, known for its ferry connections to Norway and Sweden and its maritime industry.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
Created at: April 11, 2026, 3:23 p.m.