Triple
T460406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyft |
E7323
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object |
Lyft Business
Lyft Business is Lyft’s enterprise-focused platform that provides transportation solutions and tools for organizations to manage rides for employees, customers, and guests.
|
E7323
|
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: Lyft Business | Statement: [Lyft, hasProgram, Lyft Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyft Business Context triple: [Lyft, hasProgram, Lyft Business]
-
A.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
B.
UberX
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal 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: Lyft Business Triple: [Lyft, hasProgram, Lyft Business]
Generated description
Lyft Business is Lyft’s enterprise-focused platform that provides transportation solutions and tools for organizations to manage rides for employees, customers, and guests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyft Business Target entity description: Lyft Business is Lyft’s enterprise-focused platform that provides transportation solutions and tools for organizations to manage rides for employees, customers, and guests.
-
A.
Lyft
chosen
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
B.
UberX
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal 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.
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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbd6ed481909ec40f12b5b675c8 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f607b88190afe5335699f216eb |
completed | March 1, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a464d756d881908f4aa5843df982ef |
completed | March 1, 2026, 4:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4650cf7a48190bb5eed81563008e6 |
completed | March 1, 2026, 4:10 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.