Triple

T5870173
Position Surface form Disambiguated ID Type / Status
Subject Dynamo Dresden E130495 entity
Predicate nickname P55 FINISHED
Object SGD
SGD is the commonly used abbreviation and nickname for the German football club Dynamo Dresden.
 E550935 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: SGD | Statement: [Dynamo Dresden, nickname, SGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGD
Context triple: [Dynamo Dresden, nickname, SGD]
  • A. SGD
    SGD is the official currency code for the Singapore dollar, the national currency of Singapore used in domestic and international transactions.
  • B. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • C. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • D. GRU
    GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
  • E. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • 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: SGD
Triple: [Dynamo Dresden, nickname, SGD]
Generated description
SGD is the commonly used abbreviation and nickname for the German football club Dynamo Dresden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGD
Target entity description: SGD is the commonly used abbreviation and nickname for the German football club Dynamo Dresden.
  • A. SGD
    SGD is the official currency code for the Singapore dollar, the national currency of Singapore used in domestic and international transactions.
  • B. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • C. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • D. GRU
    GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
  • E. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f6b8548190a58971b05869228d completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d39dd081908d77ee82c24178cf completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a223129081908288d90f7cf51668 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a294ba748190a86ec8400df73237 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:56 p.m.