Triple

T2301475
Position Surface form Disambiguated ID Type / Status
Subject Sieges of Fredriksten fortress E51741 entity
Predicate location P40 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: [Sieges of Fredriksten fortress, location, Halden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden
Context triple: [Sieges of Fredriksten fortress, location, 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. Halden town hall
    Halden town hall is the main administrative and political center of the municipality of Halden in Norway.
  • E. Drammen
    Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ef51948190ae828d8ee02feb75 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01a30608190839f9e11db0f7def completed March 10, 2026, 6:54 a.m.
Created at: March 4, 2026, 7:49 p.m.