Triple
T832411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Bus |
E17993
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Dubai Taxi
Dubai Taxi is a government-regulated taxi service in Dubai that provides metered transportation across the city and complements the public transit network.
|
E98043
|
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: Dubai Taxi | Statement: [Dubai Bus, connectsTo, Dubai Taxi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Taxi Context triple: [Dubai Bus, connectsTo, Dubai Taxi]
-
A.
Dubai Bus
Dubai Bus is the city’s public bus network, providing extensive, scheduled urban and intercity transportation across Dubai and surrounding areas.
-
B.
Careem
Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
-
C.
Ola Cabs
Ola Cabs is a major Indian ride-hailing company offering app-based transportation and mobility services across numerous cities in India and other countries.
-
D.
UberX
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
-
E.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
- 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: Dubai Taxi Triple: [Dubai Bus, connectsTo, Dubai Taxi]
Generated description
Dubai Taxi is a government-regulated taxi service in Dubai that provides metered transportation across the city and complements the public transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dubai Taxi Target entity description: Dubai Taxi is a government-regulated taxi service in Dubai that provides metered transportation across the city and complements the public transit network.
-
A.
Dubai Bus
Dubai Bus is the city’s public bus network, providing extensive, scheduled urban and intercity transportation across Dubai and surrounding areas.
-
B.
Careem
Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
-
C.
Ola Cabs
Ola Cabs is a major Indian ride-hailing company offering app-based transportation and mobility services across numerous cities in India and other countries.
-
D.
UberX
UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
-
E.
Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb647988190950e1790bcfa60a5 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a7799f87f08190ad393ce92c938030 |
completed | March 4, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77a2ef9d08190abc60490b4409d79 |
completed | March 4, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:38 p.m.