Triple

T16762234
Position Surface form Disambiguated ID Type / Status
Subject Normandy waterways network E407373 entity
Predicate traverses P416 FINISHED
Object Eure E45086 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: Eure | Statement: [Normandy waterways network, traverses, Eure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eure
Context triple: [Normandy waterways network, traverses, Eure]
  • A. Eure chosen
    Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
  • B. Eure
    Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
  • C. Eure River
    The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire regions.
  • D. Jever
    Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
  • E. Rheinau
    Rheinau is a district of Mannheim in the German state of Baden-Württemberg, known for its residential areas and proximity to the Rhine.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abed67f88190afb1d392ff01a5e7 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52d077081908080c61da67e0032 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.