Triple

T13282619
Position Surface form Disambiguated ID Type / Status
Subject Lødingen E316361 entity
Predicate hasSettlement P1068 FINISHED
Object Lødingen (village) E316361 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: Lødingen (village) | Statement: [Lødingen, hasSettlement, Lødingen (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lødingen (village)
Context triple: [Lødingen, hasSettlement, Lødingen (village)]
  • A. Lødingen chosen
    Lødingen is a coastal municipality in Nordland county, Norway, located on the island of Hinnøya and known for its fishing, maritime activities, and scenic fjord landscape.
  • B. Lodalen
    Lodalen is a small valley and residential-industrial area in Oslo, Norway, situated near the inner-city districts and railway facilities.
  • C. Rollag village
    Rollag village is a small rural settlement in Norway that serves as the local hub for municipal services and community life in the Rollag area.
  • D. Våler village
    Våler village is a small settlement in Østfold, Norway, serving as the local hub for municipal services, commerce, and community life.
  • E. Lunner village
    Lunner village is a small rural settlement that serves as the administrative and population center of the Lunner municipality in Norway.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d26a548190be15872154c9a942 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.