Triple

T22819719
Position Surface form Disambiguated ID Type / Status
Subject AdaGrad E565192 entity
Predicate comparedWith P278 FINISHED
Object SGD
SGD (Stochastic Gradient Descent) is a fundamental optimization algorithm widely used in machine learning to iteratively update model parameters using randomly sampled data points or mini-batches.
 E1555013 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: [AdaGrad, comparedWith, SGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGD
Context triple: [AdaGrad, comparedWith, 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. SGD
    SGD is the commonly used abbreviation and nickname for the German football club Dynamo Dresden.
  • C. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • D. GDN
    GDN is the National Rail station code for Godstone railway station in Surrey, England.
  • E. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • 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: [AdaGrad, comparedWith, SGD]
Generated description
SGD (Stochastic Gradient Descent) is a fundamental optimization algorithm widely used in machine learning to iteratively update model parameters using randomly sampled data points or mini-batches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGD
Target entity description: SGD (Stochastic Gradient Descent) is a fundamental optimization algorithm widely used in machine learning to iteratively update model parameters using randomly sampled data points or mini-batches.
  • A. SGD
    SGD is the official currency code for the Singapore dollar, the national currency of Singapore used in domestic and international transactions.
  • B. SGD
    SGD is the commonly used abbreviation and nickname for the German football club Dynamo Dresden.
  • C. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • D. GDN
    GDN is the National Rail station code for Godstone railway station in Surrey, England.
  • E. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcf39a88190bec26affc304236d completed April 29, 2026, 3:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea869348190b4c8edc9f8b5dbc3 completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0b9f9c46988190baeb6f4e1ec2a419 completed May 18, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba068def08190b22058cf5bd76b4f completed May 18, 2026, 11:27 p.m.
Created at: April 17, 2026, 3:33 p.m.