Triple

T12705163
Position Surface form Disambiguated ID Type / Status
Subject Stade Bauer E303565 entity
Predicate locatedIn P40 FINISHED
Object Saint-Ouen-sur-Seine E62522 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: Saint-Ouen-sur-Seine | Statement: [Stade Bauer, locatedIn, Saint-Ouen-sur-Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Ouen-sur-Seine
Context triple: [Stade Bauer, locatedIn, Saint-Ouen-sur-Seine]
  • A. Saint-Ouen chosen
    Saint-Ouen is a commune in the northern suburbs of Paris, France, known for its large flea market and urban, historically industrial character.
  • B. Bar-sur-Seine
    Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
  • C. Vaires-sur-Marne
    Vaires-sur-Marne is a commune in the Seine-et-Marne department in north-central France, located east of Paris along the Marne River.
  • D. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • E. Montreuil-Juigné
    Montreuil-Juigné is a small commune in western France’s Maine-et-Loire department, known for its residential character and proximity to the city of Angers.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961f1adec8190a53c80e9556b3fe0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a4c2cc81908c8acd3a1123208a completed May 10, 2026, 1:14 p.m.
Created at: April 9, 2026, 5:23 p.m.