Triple

T5654101
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Reichsbahn E124574 entity
Predicate shortName P43 FINISHED
Object DR
DR was the abbreviation for the Deutsche Reichsbahn, the state railway company of Germany (and later East Germany) that operated much of the country’s rail transport during the 20th century.
 E537671 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: DR | Statement: [Deutsche Reichsbahn, shortName, DR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DR
Context triple: [Deutsche Reichsbahn, shortName, DR]
  • A. DR
    DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • D. DRV
    DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
  • E. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • 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: DR
Triple: [Deutsche Reichsbahn, shortName, DR]
Generated description
DR was the abbreviation for the Deutsche Reichsbahn, the state railway company of Germany (and later East Germany) that operated much of the country’s rail transport during the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DR
Target entity description: DR was the abbreviation for the Deutsche Reichsbahn, the state railway company of Germany (and later East Germany) that operated much of the country’s rail transport during the 20th century.
  • A. DR
    DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • D. DRV
    DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
  • E. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f7efec8190946c925130176d5a completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d97b8dc8190865ff55071954b30 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ede30088190a70607458f4653d0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb365cc8190b825f7c1d66aee0f completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.