Triple

T2965206
Position Surface form Disambiguated ID Type / Status
Subject Iceland Sea E80144 entity
Predicate locatedNear P294 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: [Iceland Sea, locatedNear, Jan Mayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Mayen
Context triple: [Iceland Sea, locatedNear, 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_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_69b0fc9bc190819087cb35ee7c78825a completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:58 p.m.