Triple

T7113649
Position Surface form Disambiguated ID Type / Status
Subject Bezos Expeditions E165762 entity
Predicate notableInvestmentIn P17330 FINISHED
Object Qliance
Qliance was a Seattle-based direct primary care medical practice company known for offering membership-based, insurance-free primary healthcare services.
E642875 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: Qliance | Statement: [Bezos Expeditions, notableInvestmentIn, Qliance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qliance
Context triple: [Bezos Expeditions, notableInvestmentIn, Qliance]
  • A. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • B. Aglientu
    Aglientu is a small coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its scenic beaches and rural landscapes.
  • C. Paillant
    Paillant is a commune located within Haiti’s Nippes Department, known as one of the rural settlements in the southwestern part of the country.
  • D. Iliad SA
    Iliad SA is a French telecommunications company best known for its low-cost mobile and internet services, including the Free brand.
  • E. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • 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: Qliance
Triple: [Bezos Expeditions, notableInvestmentIn, Qliance]
Generated description
Qliance was a Seattle-based direct primary care medical practice company known for offering membership-based, insurance-free primary healthcare services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qliance
Target entity description: Qliance was a Seattle-based direct primary care medical practice company known for offering membership-based, insurance-free primary healthcare services.
  • A. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • B. Aglientu
    Aglientu is a small coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its scenic beaches and rural landscapes.
  • C. Paillant
    Paillant is a commune located within Haiti’s Nippes Department, known as one of the rural settlements in the southwestern part of the country.
  • D. Iliad SA
    Iliad SA is a French telecommunications company best known for its low-cost mobile and internet services, including the Free brand.
  • E. Onex
    Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
  • 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.