Triple

T6833218
Position Surface form Disambiguated ID Type / Status
Subject Successive Over-Relaxation E157387 entity
Predicate hasAbbreviation P43 FINISHED
Object SOR
SOR is an iterative numerical method used to accelerate the convergence of solving large systems of linear equations, particularly in scientific and engineering computations.
E621090 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: SOR | Statement: [Successive Over-Relaxation, hasAbbreviation, SOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOR
Context triple: [Successive Over-Relaxation, hasAbbreviation, SOR]
  • A. SER
    SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • B. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • C. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • D. ORS
    ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
  • E. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • 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: SOR
Triple: [Successive Over-Relaxation, hasAbbreviation, SOR]
Generated description
SOR is an iterative numerical method used to accelerate the convergence of solving large systems of linear equations, particularly in scientific and engineering computations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SOR
Target entity description: SOR is an iterative numerical method used to accelerate the convergence of solving large systems of linear equations, particularly in scientific and engineering computations.
  • A. SER
    SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • B. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • C. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • D. ORS
    ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
  • E. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62b1e8c8190a81d91191a54b073 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fd50c88190af005fd58ca0aee6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7247806808190ac60c134cec612c8 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7253b94f081909e7cee870a12af6b completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:18 p.m.