Triple
T1688606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola Cabs |
E36498
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object |
Ola Bike
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
|
E191357
|
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 Bike | Statement: [Ola Cabs, offersProduct, Ola Bike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Bike Context triple: [Ola Cabs, offersProduct, Ola Bike]
-
A.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
B.
Santander Cycles
Santander Cycles is London’s public bicycle-sharing scheme, offering short-term bike rentals across the city through a network of docking stations.
-
C.
Brompton
Brompton is a historic and affluent district in West London known for its museums, garden squares, and proximity to Knightsbridge and South Kensington.
-
D.
Segway PT
The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
-
E.
Giro
Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
- 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 Bike Triple: [Ola Cabs, offersProduct, Ola Bike]
Generated description
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ola Bike Target entity description: Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
-
A.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
B.
Santander Cycles
Santander Cycles is London’s public bicycle-sharing scheme, offering short-term bike rentals across the city through a network of docking stations.
-
C.
Brompton
Brompton is a historic and affluent district in West London known for its museums, garden squares, and proximity to Knightsbridge and South Kensington.
-
D.
Segway PT
The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
-
E.
Giro
Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
- 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_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.