Triple

T1299708
Position Surface form Disambiguated ID Type / Status
Subject Olonkinbyen E27733 entity
Predicate locatedOn P40 FINISHED
Object Jan Mayen E27733 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: Jan Mayen | Statement: [Olonkinbyen, locatedOn, Jan Mayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Mayen
Context triple: [Olonkinbyen, locatedOn, Jan Mayen]
  • A. Jan Mayen chosen
    Jan Mayen is a remote volcanic island in the Arctic Ocean administered by Norway, known for its harsh climate, military and meteorological stations, and proximity to the Mid-Atlantic Ridge.
  • B. Bear Island
    Bear Island is one of the Apostle Islands in Lake Superior, known for its rugged natural shoreline and forested, relatively undeveloped landscape within the Apostle Islands region of northern Wisconsin.
  • C. Nansen Island
    Nansen Island is a polar island named in honor of Norwegian explorer, scientist, and humanitarian Fridtjof Nansen.
  • D. Svalbard
    Svalbard is a remote Arctic archipelago known for its rugged glaciers, polar bear habitat, and role as a center for polar research and environmental monitoring.
  • E. Barentsøya
    Barentsøya is a largely uninhabited Arctic island in the Svalbard archipelago of Norway, known for its remote tundra landscapes and polar wildlife.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c11314a48190ab4efb8b1acdce50 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400aba788190840696eccfa258e1 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:51 p.m.