Triple

T27124317
Position Surface form Disambiguated ID Type / Status
Subject Bourse de Paris E687082 entity
Predicate languageOfTrading P74986 FINISHED
Object French LITERAL 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: French | Statement: [Bourse de Paris, languageOfTrading, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfTrading
Context triple: [Bourse de Paris, languageOfTrading, French]
  • A. languageUsedInTrade chosen
    Indicates that a particular language is employed as a medium of communication in trade or commercial transactions between parties.
  • B. languageOfPrimaryMarkets
    Indicates the primary language or languages used in the main markets where an entity operates or targets its products or services.
  • C. languageOfCommunications
    Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
  • D. languageOfProvision
    Indicates the language in which a provision, such as a legal or contractual clause, is written or officially expressed.
  • E. languageOfNegotiation
    Indicates that a specified language is used as the medium of communication during a negotiation between parties.
  • F. None of above.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fd09840ea88190a2e6d7e577ade717 completed May 7, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69fd064c49988190afadddbd04d7cb94 completed May 7, 2026, 9:38 p.m.
Created at: April 27, 2026, 9 a.m.