Triple
T10309566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uber Blue |
E241850
|
entity |
| Predicate | upgradePathTo |
P17584
|
FINISHED |
| Object |
Uber Diamond
Uber Diamond is the highest elite tier in Uber’s rider loyalty program, offering the most premium benefits and rewards to its most frequent users.
|
E855617
|
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: Uber Diamond | Statement: [Uber Blue, upgradePathTo, Uber Diamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uber Diamond Context triple: [Uber Blue, upgradePathTo, Uber Diamond]
-
A.
Uber Black
Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
-
B.
Uber Green
Uber Green is an eco-focused ride option from Uber that connects riders with drivers using low-emission or electric vehicles.
-
C.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
-
D.
Uber
Uber is a global ride-hailing and technology company that connects passengers with drivers through a mobile app and has expanded into food delivery and freight services.
-
E.
Lyft Pink
Lyft Pink is Lyft’s paid membership program that offers riders benefits like discounted fares, priority support, and other perks on the Lyft platform.
- 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: Uber Diamond Triple: [Uber Blue, upgradePathTo, Uber Diamond]
Generated description
Uber Diamond is the highest elite tier in Uber’s rider loyalty program, offering the most premium benefits and rewards to its most frequent users.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uber Diamond Target entity description: Uber Diamond is the highest elite tier in Uber’s rider loyalty program, offering the most premium benefits and rewards to its most frequent users.
-
A.
Uber Black
Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
-
B.
Uber Green
Uber Green is an eco-focused ride option from Uber that connects riders with drivers using low-emission or electric vehicles.
-
C.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
-
D.
Uber
Uber is a global ride-hailing and technology company that connects passengers with drivers through a mobile app and has expanded into food delivery and freight services.
-
E.
Lyft Pink
Lyft Pink is Lyft’s paid membership program that offers riders benefits like discounted fares, priority support, and other perks on the Lyft platform.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32a18ac81909b4efd8c1ba3e113 |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d7154b88190a0ae1dfa029b125e |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.