Triple

T18413803
Position Surface form Disambiguated ID Type / Status
Subject Askersund Municipality E441833 entity
Predicate hasSettlement P1068 FINISHED
Object Askersund NE NERFINISHED

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: Askersund | Statement: [Askersund Municipality, hasSettlement, Askersund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askersund
Context triple: [Askersund Municipality, hasSettlement, Askersund]
  • A. Askersund chosen
    Askersund is a small Swedish town in Örebro County known for its picturesque harbor setting on the northern shores of Lake Vättern.
  • B. Eigtved
    Eigtved is a Danish surname most notably associated with Nicolai Eigtved, an 18th-century architect central to the development of Copenhagen’s Rococo architecture.
  • C. Svinesund
    Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
  • D. Bogesund
    Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
  • E. Ginnerup
    Ginnerup is a small village in Denmark best known as the birthplace of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.