Triple

T10953436
Position Surface form Disambiguated ID Type / Status
Subject Aube department E258780 entity
Predicate contains P35 FINISHED
Object Nogent-sur-Seine E339075 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: Nogent-sur-Seine | Statement: [Aube department, contains, Nogent-sur-Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogent-sur-Seine
Context triple: [Aube department, contains, Nogent-sur-Seine]
  • A. Nogent-sur-Seine chosen
    Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
  • B. Nogent-sur-Oise
    Nogent-sur-Oise is a commune in northern France situated in the Oise department, known for its residential character and proximity to the city of Creil.
  • C. Nogent-sur-Marne
    Nogent-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its riverside setting along the Marne and its residential character.
  • D. Crosne
    Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
  • E. Pierrefitte-sur-Seine
    Pierrefitte-sur-Seine is a northern suburb of Paris in the Seine-Saint-Denis department of France, notable for hosting the main site of the French National Archives.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd19164481909c2f35fbebf6150e completed May 9, 2026, 7:07 a.m.
Created at: April 8, 2026, 9:23 p.m.