Triple

T7968949
Position Surface form Disambiguated ID Type / Status
Subject Discoveryland E185276 entity
Predicate locatedIn P40 FINISHED
Object Chessy, France 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, France | Statement: [Discoveryland, locatedIn, Chessy, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chessy, France
Context triple: [Discoveryland, locatedIn, Chessy, France]
  • A. Chessy, France
    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 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.
  • 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. Villeblevin, France
    Villeblevin, France is a small commune in north-central France best known as the place where Nobel Prize–winning writer Albert Camus died in a car accident.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd1c9a081909759e5bf5237204e completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0aadcc48190ae35154195099029 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.