Triple
T1688607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola Cabs |
E36498
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object |
Ola Share
Ola Share is a ride-sharing service by Ola that allows multiple passengers heading in the same direction to share a cab and split the fare.
|
E191358
|
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 Share | Statement: [Ola Cabs, offersProduct, Ola Share]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Share Context triple: [Ola Cabs, offersProduct, Ola Share]
-
A.
OLIN
OLIN is a prominent landscape architecture and urban design firm known for shaping major public spaces and environmentally responsive projects worldwide.
-
B.
OLEM
OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
E.
Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
- 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 Share Triple: [Ola Cabs, offersProduct, Ola Share]
Generated description
Ola Share is a ride-sharing service by Ola that allows multiple passengers heading in the same direction to share a cab and split the fare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ola Share Target entity description: Ola Share is a ride-sharing service by Ola that allows multiple passengers heading in the same direction to share a cab and split the fare.
-
A.
OLIN
OLIN is a prominent landscape architecture and urban design firm known for shaping major public spaces and environmentally responsive projects worldwide.
-
B.
OLEM
OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
Shuar
Shuar is an indigenous language of the Jivaroan family spoken by the Shuar people primarily in the Amazonian regions of Ecuador and Peru.
-
E.
Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
- 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.