Triple

T20977675
Position Surface form Disambiguated ID Type / Status
Subject Sudreyjar E516667 entity
Predicate hasPart P35 FINISHED
Object Jura 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: Jura | Statement: [Sudreyjar, hasPart, Jura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jura
Context triple: [Sudreyjar, hasPart, Jura]
  • A. Jura
    Jura is a department in eastern France known for its forested mountains, lakes, and part of the Jura mountain range along the Swiss border.
  • B. Jura chosen
    Jura is a remote, sparsely populated island in Scotland’s Inner Hebrides, known for its rugged mountains, large red deer population, and the Jura whisky distillery.
  • C. Jura
    Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
  • D. Reuss basin
    The Reuss basin is the drainage area of the Reuss River in central Switzerland, encompassing its catchment from the Alps through major lakes and valleys before joining the Aare.
  • E. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba65b0881908bc00981053edb68 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.