Triple
T241661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uber |
E4943
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
UberX
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
|
E32525
|
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: UberX | Statement: [Uber, hasBrand, UberX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UberX Context triple: [Uber, hasBrand, UberX]
-
A.
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.
-
B.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
C.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
-
D.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
E.
Postmates
Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
- 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: UberX Triple: [Uber, hasBrand, UberX]
Generated description
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UberX Target entity description: UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
-
A.
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.
-
B.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
C.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
-
D.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
E.
Postmates
Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25cee6f208190b996be4faa700910 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736ff4388190b6b43a149d0003c5 |
completed | Feb. 28, 2026, 11 p.m. |
| NEDg | Description generation | batch_69a3745c4cb481908fb0ba52119fabbb |
completed | Feb. 28, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a374e12e9c819090217b5197c90ccf |
completed | Feb. 28, 2026, 11:06 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.