Triple

T13869095
Position Surface form Disambiguated ID Type / Status
Subject Palais des Congrès de Paris E333403 entity
Predicate ownedBy P347 FINISHED
Object Viparis E752231 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: Viparis | Statement: [Palais des Congrès de Paris, ownedBy, Viparis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viparis
Context triple: [Palais des Congrès de Paris, ownedBy, Viparis]
  • A. Viparis chosen
    Viparis is a major French company that manages and operates leading convention and exhibition centers in the Paris region.
  • B. Livadeia
    Livadeia is a town in central Greece, near Mount Parnassus, known historically for the ancient oracle of Trophonius and today as the capital of the regional unit of Boeotia.
  • C. Dainava
    Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
  • D. Juvisiens
    Juvisiens are the inhabitants of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
  • E. Agenais
    Agenais refers to the inhabitants or natives of Agen, a historic town in southwestern France.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c530148190b11704300bbd5f9b completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c105da548190b908a54fec029236 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.