Triple

T6957367
Position Surface form Disambiguated ID Type / Status
Subject Université Gustave Eiffel E161279 entity
Predicate hasCampusIn P4623 FINISHED
Object Champs-sur-Marne E315596 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: Champs-sur-Marne | Statement: [Université Gustave Eiffel, hasCampusIn, Champs-sur-Marne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champs-sur-Marne
Context triple: [Université Gustave Eiffel, hasCampusIn, Champs-sur-Marne]
  • A. Champs-sur-Marne chosen
    Champs-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its historic château and role as a hub for higher education and research institutions.
  • B. 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.
  • 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. Choisy-le-Roi
    Choisy-le-Roi is a suburban commune in the southeastern outskirts of Paris, France, situated along the River Seine in the Val-de-Marne department.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad0e52081908b524dc6a66bab01 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb6942ec8190a8326a98b1cd4e50 completed April 3, 2026, 3:23 p.m.
Created at: March 27, 2026, 2:29 p.m.