Triple

T135272
Position Surface form Disambiguated ID Type / Status
Subject Danish language E2734 entity
Predicate officialStatusIn P3927 FINISHED
Object Greenland E15389 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: Greenland | Statement: [Danish language, officialStatusIn, Greenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenland
Context triple: [Danish language, officialStatusIn, Greenland]
  • A. Greenland chosen
    Greenland is the world’s largest island, an autonomous territory within the Kingdom of Denmark, known for its vast Arctic landscapes and extensive ice sheet.
  • B. Iceland
    Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
  • C. North Pole
    The North Pole is the northernmost point on Earth, situated in the middle of the Arctic region and characterized by drifting sea ice over the Arctic Ocean.
  • D. Antarctica
    Antarctica is Earth's southernmost continent, an icy landmass surrounding the South Pole known for its extreme cold, vast ice sheets, and unique scientific research stations.
  • E. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25b82ef94819083488d3d93fdfe6f completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32bc3efbc8190831cb527c122ac59 completed Feb. 28, 2026, 5:54 p.m.
Created at: Feb. 28, 2026, 2:30 a.m.