Triple

T10732955
Position Surface form Disambiguated ID Type / Status
Subject Cohomologie Galoisienne E253118 entity
Predicate hasAbbreviation P43 FINISHED
Object CG
CG is the standard abbreviation for "Cohomologie Galoisienne," a foundational area of mathematics studying Galois cohomology and its applications in number theory and algebraic geometry.
 E883486 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: CG | Statement: [Cohomologie Galoisienne, hasAbbreviation, CG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CG
Context triple: [Cohomologie Galoisienne, hasAbbreviation, CG]
  • A. CG
    CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • 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: CG
Triple: [Cohomologie Galoisienne, hasAbbreviation, CG]
Generated description
CG is the standard abbreviation for "Cohomologie Galoisienne," a foundational area of mathematics studying Galois cohomology and its applications in number theory and algebraic geometry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CG
Target entity description: CG is the standard abbreviation for "Cohomologie Galoisienne," a foundational area of mathematics studying Galois cohomology and its applications in number theory and algebraic geometry.
  • A. CG
    CG is the stock ticker symbol for The Carlyle Group, a major global alternative asset management and private equity firm.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7101ff9808190a27fcc06da097ea3 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22bb62e481909544c87801012df3 completed April 14, 2026, 11:19 a.m.
NEDg Description generation batch_69de271ca4f081908d78a20b25ebd25c completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2ccee0cc8190acd24d5c225f7cde completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:14 p.m.