Triple

T23483744
Position Surface form Disambiguated ID Type / Status
Subject Asker municipality E570473 entity
Predicate containsSettlement P847 FINISHED
Object Borgen 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: Borgen | Statement: [Asker municipality, containsSettlement, Borgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgen
Context triple: [Asker municipality, containsSettlement, Borgen]
  • A. Borgen chosen
    Borgen is a small village in Ullensaker municipality in Viken county, Norway.
  • B. Borgen
    Borgen is a Danish political drama television series that follows the rise and challenges of a fictional female prime minister navigating the complexities of government and personal life.
  • C. A Royal Affair
    A Royal Affair is a 2012 historical drama film about a forbidden romance at the Danish court, starring Alicia Vikander and Mads Mikkelsen.
  • D. Sametinget
    Sametinget is the Norwegian Sámi Parliament, a representative body that promotes and safeguards the rights, culture, and political interests of the Sámi people in Norway.
  • E. the Crown
    The Crown is the symbolic and legal embodiment of the British monarchy and state authority.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.