Triple

T11986255
Position Surface form Disambiguated ID Type / Status
Subject Jobcentre Plus E285286 entity
Predicate hasPart P35 FINISHED
Object Jobcentre E285286 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: Jobcentre | Statement: [Jobcentre Plus, hasPart, Jobcentre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jobcentre
Context triple: [Jobcentre Plus, hasPart, Jobcentre]
  • A. Jobcentre Plus chosen
    Jobcentre Plus is a UK government agency that provides employment services and administers welfare benefits to jobseekers and low-income individuals.
  • B. Jobcenter
    Jobcenter is a German public agency responsible for providing and managing basic income support and employment services for long-term unemployed people.
  • C. Consejería de Empleo
    La Consejería de Empleo es el departamento del gobierno autonómico andaluz encargado de diseñar y ejecutar las políticas públicas de trabajo, empleo y relaciones laborales en Andalucía.
  • D. Employment Service
    Employment Service was a former UK government agency responsible for helping people find work and administering employment-related benefits before its functions were absorbed into successor bodies.
  • E. EURES
    EURES is a European Union job mobility network that helps workers and employers find cross-border employment opportunities and information within the EU and EEA.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.