Triple

T6942592
Position Surface form Disambiguated ID Type / Status
Subject Fredensborg Houses E160713 entity
Predicate locatedIn P40 FINISHED
Object Fredensborg E423640 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: Fredensborg | Statement: [Fredensborg Houses, locatedIn, Fredensborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredensborg
Context triple: [Fredensborg Houses, locatedIn, Fredensborg]
  • A. Charlottenlund
    Charlottenlund is a suburban district north of central Copenhagen, Denmark, known for its affluent residential areas, coastal location, and historic royal palace and park.
  • B. Fredensborg Palace chosen
    Fredensborg Palace is a historic Danish royal residence on the island of Zealand, renowned for its baroque architecture and role as a primary home and gathering place for the Danish royal family.
  • C. Nyborg
    Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
  • D. Koldinghus
    Koldinghus is a historic royal castle and museum in the Danish city of Kolding, known for its dramatic ruin-restoration architecture and cultural exhibitions.
  • E. Amalienborg Palace
    Amalienborg Palace is the official residence of the Danish royal family, renowned for its rococo architecture and central square in Copenhagen.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da85f43881909549ac26b3db135a completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515bb4688190a81bef732676eb4e completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:28 p.m.