Triple

T17457929
Position Surface form Disambiguated ID Type / Status
Subject Lower Telemark E425077 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Grenland NE NERFINISHED

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: Grenland | Statement: [Lower Telemark, hasCulturalRegion, Grenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grenland
Context triple: [Lower Telemark, hasCulturalRegion, Grenland]
  • A. Grenland chosen
    Grenland is a culturally and historically significant region in southeastern Norway, centered around the industrial towns near the coast and traditionally associated with the county of Telemark.
  • B. Groenlandia
    Groenlandia is a film and television production company known for working on major international projects such as the series "Game of Thrones."
  • C. Grønland
    Grønland is a central Oslo neighborhood known for its multicultural character, vibrant street life, and diverse shops and eateries.
  • D. Greenland
    Greenland is a 2020 American disaster thriller film starring Gerard Butler, centered on a family's struggle to survive a catastrophic comet event.
  • E. Greenland
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.