Triple

T2275140
Position Surface form Disambiguated ID Type / Status
Subject Directorate-General for Justice and Consumers E50752 entity
Predicate shortName P43 FINISHED
Object DG JUST
DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
 E251383 NE FINISHED

How this triple was built (4 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: DG JUST | Statement: [Directorate-General for Justice and Consumers, shortName, DG JUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DG JUST
Context triple: [Directorate-General for Justice and Consumers, shortName, DG JUST]
  • A. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DG JUST
Triple: [Directorate-General for Justice and Consumers, shortName, DG JUST]
Generated description
DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DG JUST
Target entity description: DG JUST is the European Commission department responsible for EU policies on justice, consumer protection, and equality.
  • A. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • F. None of above. chosen

Provenance (5 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ebaa148190851952567878b3a1 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e01860819082bca15c146b9c64 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae727388f48190bbb516e1cc907689 completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae733c44008190ac1429da66cf77aa completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:48 p.m.