Triple

T22770351
Position Surface form Disambiguated ID Type / Status
Subject Urseren E563537 entity
Predicate traversedBy P225 FINISHED
Object Reuss River 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: Reuss River | Statement: [Urseren, traversedBy, Reuss River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuss River
Context triple: [Urseren, traversedBy, Reuss River]
  • A. Reuss River chosen
    The Reuss River is a major Swiss river that flows from the Gotthard region through central Switzerland, including the city of Lucerne and Lake Lucerne, before joining the Aare.
  • B. Datze River
    The Datze River is a smaller watercourse in northeastern Germany that feeds into the larger Peene River system.
  • C. Bévéra River
    The Bévéra River is a small mountain river in southeastern France and northwestern Italy that flows through the Alpes-Maritimes before joining the Roya River.
  • D. Clariano River
    The Clariano River is a watercourse in the Valencian Community of Spain that flows through the town of Ontinyent and contributes to the local Júcar river basin.
  • E. Argens River
    The Argens River is a major watercourse in southeastern France that flows through the Var department to the Mediterranean Sea, shaping the landscapes and towns along its banks.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5cea44819097290351da9c488d completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.