Triple

T11325140
Position Surface form Disambiguated ID Type / Status
Subject Serris E268191 entity
Predicate near P350 FINISHED
Object Chessy, Seine-et-Marne E670602 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: Chessy, Seine-et-Marne | Statement: [Serris, near, Chessy, Seine-et-Marne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chessy, Seine-et-Marne
Context triple: [Serris, near, Chessy, Seine-et-Marne]
  • A. Chessy, Seine-et-Marne chosen
    Chessy, Seine-et-Marne is a French commune in the eastern suburbs of Paris best known for hosting much of the Disneyland Paris resort area.
  • B. Chessy, France
    Chessy, France is a commune in the eastern suburbs of Paris best known as part of the Disneyland Paris resort area.
  • C. 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.
  • D. Chevry
    Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
  • E. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.