Triple

T2965474
Position Surface form Disambiguated ID Type / Status
Subject Vesterålen E80150 entity
Predicate largestTown P235 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: [Vesterålen, largestTown, Sortland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sortland
Context triple: [Vesterålen, largestTown, 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. 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.
  • C. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • D. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • E. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995a28e88190a4d6b9ef2c0d8e61 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2033e50988190a99bca343923b099 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 2:58 p.m.