Triple
T1534779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UberX |
E32525
|
entity |
| Predicate | bookingMethod |
P1030
|
FINISHED |
| Object |
Uber website
The Uber website is the company’s online platform where users can sign in to request rides, manage bookings, and access their account and trip information.
|
E4943
|
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 website | Statement: [UberX, bookingMethod, Uber website]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uber website Context triple: [UberX, bookingMethod, Uber website]
-
A.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
-
B.
Uber Eats
Uber Eats is an online food delivery platform operated by Uber that connects users with local restaurants and couriers for on-demand meal delivery.
-
C.
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.
-
D.
Uber Black
Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
-
E.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app 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 website Triple: [UberX, bookingMethod, Uber website]
Generated description
The Uber website is the company’s online platform where users can sign in to request rides, manage bookings, and access their account and trip information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uber website Target entity description: The Uber website is the company’s online platform where users can sign in to request rides, manage bookings, and access their account and trip information.
-
A.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
-
B.
Uber Eats
Uber Eats is an online food delivery platform operated by Uber that connects users with local restaurants and couriers for on-demand meal delivery.
-
C.
Uber
chosen
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.
-
D.
Uber Black
Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
-
E.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
- F. None of above.
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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90828cdf08190aa404a0c11335c7b |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30942dc481908de85bd2ca30c0bd |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3104afe88190a8d783dd38d4f2fd |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad31a17f5c8190b0d56b449f79cca5 |
completed | March 8, 2026, 8:21 a.m. |
Created at: March 4, 2026, 7:26 p.m.