Triple

T7055636
Position Surface form Disambiguated ID Type / Status
Subject Irminger Sea E164082 entity
Predicate countryBorder P224 FINISHED
Object Iceland E8117 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: Iceland | Statement: [Irminger Sea, countryBorder, Iceland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iceland
Context triple: [Irminger Sea, countryBorder, Iceland]
  • A. Iceland chosen
    Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
  • B. Vozrozhdeniya Island
    Vozrozhdeniya Island is a former island in the Aral Sea, notorious as a major Soviet biological weapons testing site and now largely connected to the mainland due to the sea’s shrinkage.
  • C. Nordaustlandet island
    Nordaustlandet island is the second-largest island in the Svalbard archipelago of Arctic Norway, known for its extensive ice caps, remote polar environment, and protected wilderness status.
  • D. Slovanský Island
    Slovanský Island is a small historic island in central Prague known for its cultural venues, scenic riverside views, and recreational spaces along the Vltava River.
  • E. Grønland
    Grønland is a central Oslo neighborhood known for its multicultural character, vibrant street life, and diverse shops and eateries.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e267664c81909501feb12683a002 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7889ddd488190b1e55828909133eb completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:38 p.m.