Triple

T13644927
Position Surface form Disambiguated ID Type / Status
Subject Production Courtyard E326077 entity
Predicate locatedIn P40 FINISHED
Object Chessy, France E185306 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, France | Statement: [Production Courtyard, locatedIn, Chessy, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chessy, France
Context triple: [Production Courtyard, locatedIn, Chessy, France]
  • A. Chessy, France chosen
    Chessy, France is a commune in the eastern suburbs of Paris best known as part of the Disneyland Paris resort area.
  • B. Chatou, France
    Chatou, France is a suburban town on the River Seine near Paris, historically known as an artists’ retreat associated with Impressionist and Fauvist painters.
  • C. Chessy, Seine-et-Marne
    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.
  • D. Pontchâteau, France
    Pontchâteau is a commune in western France’s Loire-Atlantique department, known for its historic religious sites and its location between Nantes and Vannes.
  • E. Chauvigny, France
    Chauvigny, France is a historic town in the Vienne department of western France, known for its medieval fortifications and picturesque hilltop setting.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.