Triple

T10235971
Position Surface form Disambiguated ID Type / Status
Subject Flekkefjord municipality E243463 entity
Predicate hasSettlement P1068 FINISHED
Object Flekkefjord E516955 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: Flekkefjord | Statement: [Flekkefjord municipality, hasSettlement, Flekkefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flekkefjord
Context triple: [Flekkefjord municipality, hasSettlement, Flekkefjord]
  • A. Flekkefjord chosen
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • C. Bunnefjorden
    Bunnefjorden is a southern arm of the Oslofjord in southeastern Norway, known for its sheltered waters and coastal settlements.
  • D. Hjeltefjorden
    Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20de15c8190a81f3e9803fdfcd1 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fe436d48190b889ccf5884d1bb7 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:22 a.m.