Triple

T1178466
Position Surface form Disambiguated ID Type / Status
Subject East Germany E25081 entity
Predicate abbreviation P43 FINISHED
Object DDR
DDR is the commonly used German abbreviation for the former socialist state officially known as the German Democratic Republic (East Germany), which existed from 1949 to 1990.
E134798 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: DDR | Statement: [East Germany, abbreviation, DDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DDR
Context triple: [East Germany, abbreviation, DDR]
  • A. DMA
    DMA (Direct Memory Access) is a computer feature that allows hardware devices to transfer data directly to and from system memory without continuous CPU involvement, improving performance and efficiency.
  • B. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • C. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
  • E. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • 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: DDR
Triple: [East Germany, abbreviation, DDR]
Generated description
DDR is the commonly used German abbreviation for the former socialist state officially known as the German Democratic Republic (East Germany), which existed from 1949 to 1990.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DDR
Target entity description: DDR is the commonly used German abbreviation for the former socialist state officially known as the German Democratic Republic (East Germany), which existed from 1949 to 1990.
  • A. DMA
    DMA (Direct Memory Access) is a computer feature that allows hardware devices to transfer data directly to and from system memory without continuous CPU involvement, improving performance and efficiency.
  • B. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • C. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f1cab308190bdb5ae1e01d83b61 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6ff4c62881908cf88169e99d2983 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac704cdaf08190b77b0b9345537d84 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.