Triple

T6375438
Position Surface form Disambiguated ID Type / Status
Subject Lillesand E143453 entity
Predicate urbanArea P12103 FINISHED
Object Lillesand town 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 town | Statement: [Lillesand, urbanArea, Lillesand town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillesand town
Context triple: [Lillesand, urbanArea, Lillesand town]
  • 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. Larvik
    Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
  • C. 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.
  • D. Kinn Municipality
    Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
  • E. Harstad
    Harstad is a coastal town and municipality in Troms county, known as an important regional center in Northern Norway with a strong maritime and cultural heritage.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683ab8e08190ab3c9a5000b1d2be completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9dd9dc8190b2aca25feda3e690 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.