Triple

T36639694
Position Surface form Disambiguated ID Type / Status
Subject Director-General of the European Commission Legal Service E904548 entity
Predicate hasOfficeWithin P1268 FINISHED
Object Directorate-General of the Legal Service 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: Directorate-General of the Legal Service | Statement: [Director-General of the European Commission Legal Service, hasOfficeWithin, Directorate-General of the Legal Service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficeWithin
Context triple: [Director-General of the European Commission Legal Service, hasOfficeWithin, Directorate-General of the Legal Service]
  • A. hasOffice chosen
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • B. hasAssociatedOffice
    Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
  • C. hasOfficeType
    Indicates that an entity’s office is classified as a specific type or category of office.
  • D. hasSupportingOffice
    Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
  • E. hasLocalGovernmentOffice
    Indicates that a local government office is present or established within a specified location or jurisdiction.
  • 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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: May 3, 2026, 4:11 p.m.