Triple

T18193540
Position Surface form Disambiguated ID Type / Status
Subject Lilla Edet Municipality E435601 entity
Predicate hasHistoricalTown P43430 FINISHED
Object Lödöse 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: Lödöse | Statement: [Lilla Edet Municipality, hasHistoricalTown, Lödöse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lödöse
Context triple: [Lilla Edet Municipality, hasHistoricalTown, Lödöse]
  • A. Lödöse chosen
    Lödöse is a historic Swedish town that was one of the country’s earliest and most important medieval trading centers, located in the province of Västergötland.
  • B. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • C. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • D. Lövö
    Lövö is an island within Finland’s Pellinge archipelago, known for its coastal landscapes and traditional island community.
  • E. Löningen
    Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d12b688190842375dcc5d5537c completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.