Triple

T32205065
Position Surface form Disambiguated ID Type / Status
Subject exo Laurentides E822645 entity
Predicate primaryLanguageOfCustomerService P1252 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: [exo Laurentides, primaryLanguageOfCustomerService, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfCustomerService
Context triple: [exo Laurentides, primaryLanguageOfCustomerService, French]
  • A. hasCustomerServiceLanguage
    Indicates that an entity provides customer service in a specified language or set of languages.
  • B. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • C. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • D. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • E. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • 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_69f349093174819086e633c190a51aa8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:36 a.m.