Triple

T22474024
Position Surface form Disambiguated ID Type / Status
Subject Fredrikshald E555578 entity
Predicate hasHistoricBuilding P1098 FINISHED
Object Halden town hall 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: Halden town hall | Statement: [Fredrikshald, hasHistoricBuilding, Halden town hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden town hall
Context triple: [Fredrikshald, hasHistoricBuilding, Halden town hall]
  • A. Halden town hall chosen
    Halden town hall is the main administrative and political center of the municipality of Halden in Norway.
  • B. Halden town centre
    Halden town centre is the historic and commercial heart of the Norwegian border town of Halden, known for its riverside setting below the Fredriksten Fortress.
  • C. Halden church
    Halden church is a prominent historic church and architectural landmark located in the center of Halden, Norway.
  • D. Haugesund city hall
    Haugesund city hall is the main administrative and political center of the city of Haugesund in Norway, housing its municipal government offices and council chambers.
  • E. Drammen City Hall
    Drammen City Hall is the main municipal government building of the city of Drammen in Norway, known for its prominent location and role as an administrative and civic center.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2d5388190a59d11b3403d998b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.