Triple

T8677461
Position Surface form Disambiguated ID Type / Status
Subject Österbottens landskap E205950 entity
Predicate hasNotableTown P14082 FINISHED
Object Närpes E219588 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: Närpes | Statement: [Österbottens landskap, hasNotableTown, Närpes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Närpes
Context triple: [Österbottens landskap, hasNotableTown, Närpes]
  • A. Närpes chosen
    Närpes is a bilingual coastal town and municipality in western Finland known for its greenhouse vegetable production and strong Swedish-speaking heritage.
  • B. Nusnäs
    Nusnäs is a village in Sweden renowned as a traditional center for crafting the iconic painted wooden Dala horses.
  • C. Persnäs
    Persnäs is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural landscape and traditional village character.
  • D. Nykvarn
    Nykvarn is a small locality in eastern Sweden that serves as the administrative and population center of Nykvarn Municipality in Stockholm County.
  • E. Hållnäs
    Hållnäs is a rural coastal locality and peninsula in eastern Sweden known for its forests, farmland, and Baltic Sea shoreline within Tierp Municipality in Uppsala County.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f7c2c081909ec93413ceefbb1c completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4277f84881909e3cc60eeaf05586 completed April 3, 2026, 4:30 a.m.
Created at: March 30, 2026, 6:32 p.m.