Triple

T15352846
Position Surface form Disambiguated ID Type / Status
Subject Hadsel Bridge E367095 entity
Predicate serves P98 FINISHED
Object Hadseløya island NE NERFINISHED

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: Hadseløya island | Statement: [Hadsel Bridge, serves, Hadseløya island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadseløya island
Context triple: [Hadsel Bridge, serves, Hadseløya island]
  • A. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • B. Hadseløya chosen
    Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
  • C. Magerøya island
    Magerøya island is a remote Arctic island in northern Norway best known for hosting the North Cape, one of Europe’s northernmost accessible points and a popular tourist destination.
  • D. Storøya island
    Storøya island is a small, remote Arctic island in the Svalbard archipelago of Norway, known for its polar wildlife and harsh, icy environment.
  • E. Helgøya
    Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
Created at: April 10, 2026, 3:17 a.m.