Triple

T3723799
Position Surface form Disambiguated ID Type / Status
Subject Gardar E81700 entity
Predicate locatedIn P40 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: [Gardar, locatedIn, Greenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenland
Context triple: [Gardar, locatedIn, Greenland]
  • A. Greenland
    Greenland is a 2020 American disaster thriller film starring Gerard Butler, centered on a family's struggle to survive a catastrophic comet event.
  • B. 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.
  • C. Groenlandia
    Groenlandia is a film and television production company known for working on major international projects such as the series "Game of Thrones."
  • D. Greenland and Svalbard
    Greenland and Svalbard are two large Arctic territories—Greenland being the world’s largest island under Danish sovereignty and Svalbard a Norwegian archipelago—separated by frigid northern seas.
  • E. 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.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf3f2ec8190a3a8f363cfb762f3 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1b25088190958c427c932641e1 completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:34 p.m.