Triple

T11022192
Position Surface form Disambiguated ID Type / Status
Subject Trehøje Municipality E260516 entity
Predicate administrativeCenter P1474 FINISHED
Object Vildbjerg E901513 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: Vildbjerg | Statement: [Trehøje Municipality, administrativeCenter, Vildbjerg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vildbjerg
Context triple: [Trehøje Municipality, administrativeCenter, Vildbjerg]
  • A. Vildbjerg chosen
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • B. Vadsø
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • C. Vækerø
    Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
  • D. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • E. Abildsø
    Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bd88188190a644adc9283cabb8 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c828b7848190be34a6ba1550d3f1 completed April 18, 2026, 6:06 p.m.
Created at: April 8, 2026, 9:25 p.m.