Triple

T13118754
Position Surface form Disambiguated ID Type / Status
Subject Vadsøya E311667 entity
Predicate hasNearbyCity P350 FINISHED
Object Vadsø town centre E79233 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: Vadsø town centre | Statement: [Vadsøya, hasNearbyCity, Vadsø town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vadsø town centre
Context triple: [Vadsøya, hasNearbyCity, Vadsø town centre]
  • A. Vadsø chosen
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • B. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • C. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • D. Vadsø, Norway
    Vadsø, Norway is a small Arctic town in Finnmark known as a historic hub for polar expeditions and a key stopover for early explorers of the Barents Sea region.
  • E. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.