Triple

T7587719
Position Surface form Disambiguated ID Type / Status
Subject Ovanåker Municipality E179657 entity
Predicate containsSettlement P847 FINISHED
Object Edsbyn E675673 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: Edsbyn | Statement: [Ovanåker Municipality, containsSettlement, Edsbyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edsbyn
Context triple: [Ovanåker Municipality, containsSettlement, Edsbyn]
  • A. Edsbyn chosen
    Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
  • B. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • C. Lebesby
    Lebesby is a sparsely populated coastal municipality in Troms og Finnmark county in northern Norway, known for its Arctic landscapes, fishing communities, and proximity to the Barents Sea.
  • D. Nesbyen
    Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
  • E. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86840abc08190b7ca9fb8e2968311 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.