Triple

T3241610
Position Surface form Disambiguated ID Type / Status
Subject Christiansborg Palace E67976 entity
Predicate locatedOn P40 FINISHED
Object Slotsholmen E175961 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: Slotsholmen | Statement: [Christiansborg Palace, locatedOn, Slotsholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slotsholmen
Context triple: [Christiansborg Palace, locatedOn, Slotsholmen]
  • A. Slotsholmen chosen
    Slotsholmen is a small island in central Copenhagen that serves as Denmark’s political and administrative center, housing key institutions such as Christiansborg Palace and several government ministries.
  • B. Helgeandsholmen
    Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
  • C. Tjuvholmen
    Tjuvholmen is a modern waterfront district in central Oslo known for its contemporary architecture, art galleries, and seaside promenade.
  • D. Stadsholmen
    Stadsholmen is the central island in Stockholm’s historic Gamla stan (Old Town), known for its medieval street layout and well-preserved architecture.
  • E. Bømlo
    Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.