Triple

T22846012
Position Surface form Disambiguated ID Type / Status
Subject Hultsfred Municipality E566217 entity
Predicate borderedBy P224 FINISHED
Object Nässjö Municipality 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: Nässjö Municipality | Statement: [Hultsfred Municipality, borderedBy, Nässjö Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nässjö Municipality
Context triple: [Hultsfred Municipality, borderedBy, Nässjö Municipality]
  • A. Norsjö Municipality
    Norsjö Municipality is a sparsely populated local government area in northern Sweden known for its forests, lakes, and traditional rural communities.
  • B. Nässjö chosen
    Nässjö is a small Swedish town in Jönköping County known as a regional railway hub and service center in southern Sweden.
  • C. Nykvarn Municipality
    Nykvarn Municipality is a small municipality in Stockholm County, Sweden, known for its rural character, forests, and lakes west of Stockholm.
  • D. Sandviken Municipality
    Sandviken Municipality is a local government area in Gävleborg County, Sweden, known for its industrial heritage and the town of Sandviken, home to the steel company Sandvik.
  • E. Sävsjö Municipality
    Sävsjö Municipality is a local government area in southern Sweden known for its small towns, forests, and lakes within Jönköping County.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e88fb408190a58c91486ea65169 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.