Triple

T7518106
Position Surface form Disambiguated ID Type / Status
Subject Hôtel l’Elysée Val d’Europe E177696 entity
Predicate locatedIn P40 FINISHED
Object Serris E268191 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: Serris | Statement: [Hôtel l’Elysée Val d’Europe, locatedIn, Serris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serris
Context triple: [Hôtel l’Elysée Val d’Europe, locatedIn, Serris]
  • A. Serris chosen
    Serris is a French suburban town in the Île-de-France region best known for hosting the Val d'Europe area adjacent to Disneyland Paris.
  • B. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • C. Villiers-le-Sec
    Villiers-le-Sec is a small French commune located in the Calvados department of the Normandy region in northwestern France.
  • D. Mézidon Vallée d'Auge
    Mézidon Vallée d'Auge is a commune in the Calvados department of northwestern France, known for its location in the historic Pays d'Auge region.
  • E. Bagneux
    Bagneux is a suburban commune in the southern part of the Paris metropolitan area in France, known for its residential character and proximity to the capital.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05bd623b88190aeecaa70f92e5c3c completed April 4, 2026, 12:31 a.m.
Created at: March 27, 2026, 3:46 p.m.