Triple

T12682449
Position Surface form Disambiguated ID Type / Status
Subject Greater Bern region E302980 entity
Predicate includesSubregion P285 FINISHED
Object Seeland E63063 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: Seeland | Statement: [Greater Bern region, includesSubregion, Seeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seeland
Context triple: [Greater Bern region, includesSubregion, Seeland]
  • A. Krautinsel
    Krautinsel is a small, uninhabited island in Germany’s Chiemsee lake, historically used for agriculture and known for its tranquil natural setting.
  • B. Seeland region chosen
    The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
  • C. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • D. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • E. Baltus
    Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b8a79488190aaf95d4f2e20a7bc completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:21 p.m.