Triple

T2170285
Position Surface form Disambiguated ID Type / Status
Subject East German mark E48406 entity
Predicate ISO4217Code P189 FINISHED
Object DDM
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
 E239230 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: DDM | Statement: [East German mark, ISO4217Code, DDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDM
Context triple: [East German mark, ISO4217Code, DDM]
  • A. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • B. DD
    DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • C. DD
    DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
  • D. DD
    DD is the vehicle registration code used on license plates for the German city of Dresden.
  • E. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • 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: DDM
Triple: [East German mark, ISO4217Code, DDM]
Generated description
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDM
Target entity description: DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
  • A. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • B. DD
    DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • C. DD
    DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
  • D. DD
    DD is the vehicle registration code used on license plates for the German city of Dresden.
  • E. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeaeb58881908ad34f7b253bac2a completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f511a08190880fbde8900d59df completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59a9b010819081491e988184b386 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.