Triple

T6352401
Position Surface form Disambiguated ID Type / Status
Subject Old Norse literature E142906 entity
Predicate region P40 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: [Old Norse literature, region, Iceland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iceland
Context triple: [Old Norse literature, region, 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. 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.
  • D. Grønland
    Grønland is a central Oslo neighborhood known for its multicultural character, vibrant street life, and diverse shops and eateries.
  • E. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dd3c74819085a164b750094c46 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603e5b3d48190b156be02008a8c12 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:31 p.m.