Triple

T4206526
Position Surface form Disambiguated ID Type / Status
Subject Viken E93795 entity
Predicate contains P35 FINISHED
Object Halden E9275 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: Halden | Statement: [Viken, contains, Halden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden
Context triple: [Viken, contains, Halden]
  • A. Halden chosen
    Halden is a historic border town and municipality in southeastern Norway, known for the Fredriksten fortress and its location near the Swedish border.
  • B. Halden municipality
    Halden municipality is a local government area in southeastern Norway, known for its historic fortress, border location near Sweden, and role as an administrative and commercial center in the region.
  • C. Kvik Halden
    Kvik Halden is a Norwegian football club based in the town of Halden, known for competing in the lower divisions of the national league system.
  • D. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • E. Halden town hall
    Halden town hall is the main administrative and political center of the municipality of Halden in Norway.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480cfacc81909a2705eb4e9ce8c1 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b596258db88190aed602eeb2323fee completed March 14, 2026, 5:08 p.m.
Created at: March 12, 2026, 11:03 p.m.