Triple

T1713736
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Community E37242 entity
Predicate shortName P43 FINISHED
Object DG
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
 E192743 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 | Statement: [German-speaking Community, shortName, DG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DG
Context triple: [German-speaking Community, shortName, DG]
  • A. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • 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
Triple: [German-speaking Community, shortName, DG]
Generated description
DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DG
Target entity description: DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • A. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63174b3c8190bd2406c78407be28 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae10a048190b7a39e4fb4fbe224 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957adf1c8190b7c8656c1984f998 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97af6b388190b2af293599108df3 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.