Triple

T12915162
Position Surface form Disambiguated ID Type / Status
Subject Birkenes E308960 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Lillesand E143453 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: Lillesand | Statement: [Birkenes, hasNeighbouringMunicipality, Lillesand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillesand
Context triple: [Birkenes, hasNeighbouringMunicipality, Lillesand]
  • A. Lillesand chosen
    Lillesand is a small coastal town and municipality in Agder county, Norway, known for its white wooden houses, maritime heritage, and popular summer tourism along the Skagerrak coast.
  • B. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • C. Lilleaker
    Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
  • D. Lunde
    Lunde is a variant form of the Scandinavian place and surname "Lund," commonly found in Norway and Denmark.
  • E. Lunde
    Lunde is a small village located within Sirdal municipality in Agder county, southern 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.