Triple

T3644935
Position Surface form Disambiguated ID Type / Status
Subject Denmark–Norway E77274 entity
Predicate currency P245 FINISHED
Object rigsdaler
The rigsdaler was a historical silver-based monetary unit used for several centuries in the joint kingdom of Denmark–Norway and related Scandinavian realms.
E376765 NE FINISHED

How this triple was built (4 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: rigsdaler | Statement: [Denmark–Norway, currency, rigsdaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rigsdaler
Context triple: [Denmark–Norway, currency, rigsdaler]
  • A. Rødenes
    Rødenes is a small village and former municipality in southeastern Norway, known for its rural landscape and historic church.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • D. Råde
    Råde is a municipality in Viken county in southeastern Norway, known for its rural landscape and proximity to the city of Sarpsborg.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: rigsdaler
Triple: [Denmark–Norway, currency, rigsdaler]
Generated description
The rigsdaler was a historical silver-based monetary unit used for several centuries in the joint kingdom of Denmark–Norway and related Scandinavian realms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: rigsdaler
Target entity description: The rigsdaler was a historical silver-based monetary unit used for several centuries in the joint kingdom of Denmark–Norway and related Scandinavian realms.
  • A. Rødenes
    Rødenes is a small village and former municipality in southeastern Norway, known for its rural landscape and historic church.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • D. Råde
    Råde is a municipality in Viken county in southeastern Norway, known for its rural landscape and proximity to the city of Sarpsborg.
  • E. Odelsting
    The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
  • F. None of above. chosen

Provenance (5 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3207688190b8d93e2e833b15a0 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453cdaae0819099c31056b7830d26 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b482dfdfc08190a20e58707368b573 completed March 13, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:24 p.m.