Triple

T7937939
Position Surface form Disambiguated ID Type / Status
Subject OpenStack E184327 entity
Predicate component P35 FINISHED
Object Karbor
Karbor is an OpenStack data protection service that provides backup, restore, and disaster recovery capabilities for cloud applications and their resources.
 E699730 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: Karbor | Statement: [OpenStack, component, Karbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karbor
Context triple: [OpenStack, component, Karbor]
  • A. Karby
    Karby is a locality within Vallentuna Municipality in Stockholm County, Sweden.
  • B. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • D. Bogar
    Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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: Karbor
Triple: [OpenStack, component, Karbor]
Generated description
Karbor is an OpenStack data protection service that provides backup, restore, and disaster recovery capabilities for cloud applications and their resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karbor
Target entity description: Karbor is an OpenStack data protection service that provides backup, restore, and disaster recovery capabilities for cloud applications and their resources.
  • A. Karby
    Karby is a locality within Vallentuna Municipality in Stockholm County, Sweden.
  • B. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • D. Bogar
    Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
  • E. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aef2394819086eea1f6ab117aed completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.