Triple
T1688609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola Cabs |
E36498
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object |
Ola Rentals
Ola Rentals is a service by Ola Cabs that lets customers book cabs for flexible, hourly-based local travel with multiple stops.
|
E36498
|
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: Ola Rentals | Statement: [Ola Cabs, offersProduct, Ola Rentals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Rentals Context triple: [Ola Cabs, offersProduct, Ola Rentals]
-
A.
CarRentals.com
CarRentals.com is an online car rental booking platform that allows users to compare and reserve vehicles from multiple rental companies worldwide.
-
B.
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.
-
C.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
-
D.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
E.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
- 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: Ola Rentals Triple: [Ola Cabs, offersProduct, Ola Rentals]
Generated description
Ola Rentals is a service by Ola Cabs that lets customers book cabs for flexible, hourly-based local travel with multiple stops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ola Rentals Target entity description: Ola Rentals is a service by Ola Cabs that lets customers book cabs for flexible, hourly-based local travel with multiple stops.
-
A.
CarRentals.com
CarRentals.com is an online car rental booking platform that allows users to compare and reserve vehicles from multiple rental companies worldwide.
-
B.
Ola Cabs
chosen
Ola Cabs is a major Indian ride-hailing company offering app-based transportation and mobility services across numerous cities in India and other countries.
-
C.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
-
D.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
E.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7992792081909af4312ae8a448a2 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7ab4aca48190936384bfa1cdeccf |
completed | March 8, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b34c3248190bb93769e55df7189 |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:29 p.m.