Triple

T7001735
Position Surface form Disambiguated ID Type / Status
Subject Lake Lucerne E162352 entity
Predicate inflow P415 FINISHED
Object Reuss E308487 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: Reuss | Statement: [Lake Lucerne, inflow, Reuss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuss
Context triple: [Lake Lucerne, inflow, Reuss]
  • A. Reuss
    Reuss is a German noble family name historically associated with various princely lines in the region of Thuringia.
  • B. Reuss basin chosen
    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.
  • C. 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.
  • D. Jura
    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.
  • E. Jura
    Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc0f8830819091f4356296234713 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79436bb708190a67038a717dfa842 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:33 p.m.