Triple

T10351877
Position Surface form Disambiguated ID Type / Status
Subject Simone Signoret E243899 entity
Predicate placeOfDeath P21 FINISHED
Object Eure E583530 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: [Simone Signoret, placeOfDeath, Eure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eure
Context triple: [Simone Signoret, placeOfDeath, Eure]
  • A. Eure
    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 chosen
    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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.