Triple

T17814712
Position Surface form Disambiguated ID Type / Status
Subject Lekeberg Municipality E444804 entity
Predicate hasUrbanArea P316 FINISHED
Object Fjugesta 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: Fjugesta | Statement: [Lekeberg Municipality, hasUrbanArea, Fjugesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fjugesta
Context triple: [Lekeberg Municipality, hasUrbanArea, Fjugesta]
  • A. Fjugesta chosen
    Fjugesta is a small locality in central Sweden that serves as the main town of Lekeberg Municipality in Örebro County.
  • B. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • C. Fugloy
    Fugloy is a small, remote island in the northeastern Faroe Islands, known for its dramatic cliffs, rich birdlife, and traditional village life.
  • D. Fjaler
    Fjaler is a small municipality in Western Norway known for its fjord landscapes and rural communities.
  • E. Fjæra
    Fjæra is a small village in Etne Municipality in Vestland county, western Norway, situated at the innermost part of the Åkrafjorden.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887e80688190a2ac3308b0e815c6 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.