Triple

T22819756
Position Surface form Disambiguated ID Type / Status
Subject AdaDelta E565193 entity
Predicate comparedWith P278 FINISHED
Object SGD NE NERFINISHED

How this triple was built (2 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: [AdaDelta, comparedWith, SGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SGD
Context triple: [AdaDelta, 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. SGD chosen
    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.
  • D. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • E. GDN
    GDN is the National Rail station code for Godstone railway station in Surrey, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 17, 2026, 3:33 p.m.