Triple

T15275320
Position Surface form Disambiguated ID Type / Status
Subject Sortland Bridge E365122 entity
Predicate connectsPlace P51738 FINISHED
Object Sortland E315256 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: Sortland | Statement: [Sortland Bridge, connectsPlace, Sortland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sortland
Context triple: [Sortland Bridge, connectsPlace, Sortland]
  • A. Sortland chosen
    Sortland is a coastal town and municipality in northern Norway, known as the “blue city” for its characteristically blue-painted buildings and its role as a regional commercial center in the Vesterålen archipelago.
  • B. Barstrand
    Barstrand is a small coastal settlement on the island of Gimsøya in Norway’s Lofoten archipelago.
  • C. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • D. Marstrand
    Marstrand is a historic seaside town and popular sailing destination on Sweden’s west coast, known for its fortress and picturesque archipelago setting.
  • E. Stranda
    Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.