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.