Triple

T15857548
Position Surface form Disambiguated ID Type / Status
Subject Thales Group E384498 entity
Predicate hasSubsidiary P254 FINISHED
Object Thales UK E387295 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: Thales UK | Statement: [Thales Group, hasSubsidiary, Thales UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thales UK
Context triple: [Thales Group, hasSubsidiary, Thales UK]
  • A. Thales UK chosen
    Thales UK is the British division of the global Thales Group, specializing in advanced defense, aerospace, security, and transportation technologies and services.
  • B. Thales Australia
    Thales Australia is the Australian subsidiary of the global Thales Group, specializing in defense, aerospace, security, and transportation technology solutions for the Australian market and regional partners.
  • C. Thales Canada
    Thales Canada is the Canadian subsidiary of the global Thales Group, specializing in advanced technologies and solutions for defense, aerospace, transportation, and security markets in Canada.
  • D. Thales Nederland
    Thales Nederland is the Dutch branch of the Thales Group, specializing in high-tech defense, security, and radar systems.
  • E. Thales Group
    Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555808688190882b610109d1e5f4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa941a0a481909c8d8e98861b46d6 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.