Triple

T1483807
Position Surface form Disambiguated ID Type / Status
Subject Conway groups E29418 entity
Predicate consistOf P14960 FINISHED
Object Co3
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
 E170600 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: Co3 | Statement: [Conway groups, consistOf, Co3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Co3
Context triple: [Conway groups, consistOf, Co3]
  • A. Co1
    Co1 is the largest of the three sporadic Conway groups, a finite simple group arising as a symmetry group related to the Leech lattice in 24-dimensional space.
  • B. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • C. Co2
    Co2 is one of the three sporadic Conway groups, a finite simple group arising from the symmetries of the Leech lattice in group theory.
  • D. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • E. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • 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: Co3
Triple: [Conway groups, consistOf, Co3]
Generated description
Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Co3
Target entity description: Co3 is one of the three sporadic Conway simple groups, notable as a finite simple group related to the symmetries of the Leech lattice.
  • A. Co1
    Co1 is the largest of the three sporadic Conway groups, a finite simple group arising as a symmetry group related to the Leech lattice in 24-dimensional space.
  • B. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • C. Co2
    Co2 is one of the three sporadic Conway groups, a finite simple group arising from the symmetries of the Leech lattice in group theory.
  • D. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • E. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c9e02c188190b87c0aac939eafdd completed March 1, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca4c4e481909ea0ca76841454b1 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d28d8708190b284676ff407c3ec completed March 8, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad1ea291448190ba1c8593d11f86ee completed March 8, 2026, 7 a.m.
Created at: March 1, 2026, 8:12 p.m.