Triple

T7113639
Position Surface form Disambiguated ID Type / Status
Subject Bezos Expeditions E165762 entity
Predicate notableInvestmentIn P17330 FINISHED
Object Domo
Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
 E642867 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: Domo | Statement: [Bezos Expeditions, notableInvestmentIn, Domo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Domo
Context triple: [Bezos Expeditions, notableInvestmentIn, Domo]
  • A. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • B. Mengo
    Mengo is a historic hill and neighborhood in Kampala, Uganda, that served as the traditional political and cultural center of the Kingdom of Buganda.
  • C. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • D. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • E. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • 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: Domo
Triple: [Bezos Expeditions, notableInvestmentIn, Domo]
Generated description
Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Domo
Target entity description: Domo is a cloud-based business intelligence and data visualization platform that helps organizations integrate, analyze, and share real-time data for decision-making.
  • A. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • B. Mengo
    Mengo is a historic hill and neighborhood in Kampala, Uganda, that served as the traditional political and cultural center of the Kingdom of Buganda.
  • C. Kachidoki
    Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
  • D. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • E. Dededo
    Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7759a048190815689298befa8d7 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cbc35d48190974e207eb98dcbe3 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d31a9e8819096e6a3040b1852a9 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dcae54c8190b06e687236373f68 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:43 p.m.