Triple

T7758774
Position Surface form Disambiguated ID Type / Status
Subject Danish rigsdaler E175963 entity
Predicate alsoKnownAs P39 FINISHED
Object rigsdaler courant E376765 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: rigsdaler courant | Statement: [Danish rigsdaler, alsoKnownAs, rigsdaler courant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rigsdaler courant
Context triple: [Danish rigsdaler, alsoKnownAs, rigsdaler courant]
  • A. rigsdaler chosen
    The rigsdaler was a historical silver-based monetary unit used for several centuries in the joint kingdom of Denmark–Norway and related Scandinavian realms.
  • B. Dallet
    Dallet is a French surname most notably associated with Joseph Dallet Jr., an American communist activist who fought and died in the Spanish Civil War.
  • C. romsdaling
    A romsdaling is a person from the Romsdal region in Møre og Romsdal county in western Norway.
  • D. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • E. Berg en Dal
    Berg en Dal is a Dutch municipality in the province of Gelderland, known for its hilly landscape, forests, and proximity to the city of Nijmegen.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:09 p.m.