Triple

T22505484
Position Surface form Disambiguated ID Type / Status
Subject Yannick Bolloré E556377 entity
Predicate familyName P18 FINISHED
Object Bolloré NE NERFINISHED

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: Bolloré | Statement: [Yannick Bolloré, familyName, Bolloré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolloré
Context triple: [Yannick Bolloré, familyName, Bolloré]
  • A. Bolloré Group chosen
    Bolloré Group is a French multinational conglomerate best known for its diversified interests in logistics, media, and communications, and for being controlled by the Bolloré family.
  • B. Casa Transports SA
    Casa Transports SA is the public company responsible for managing and developing urban transport infrastructure and services in Casablanca, Morocco, including the city’s tramway network.
  • C. Keolis
    Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
  • D. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • E. Kent Group
    The Kent Group is a remote cluster of small islands in Bass Strait, Tasmania, known for its rugged landscapes, rich marine life, and protected conservation areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5bf0f0819093426d83ebd80ef0 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.