Triple
T1688604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ola Cabs |
E36498
|
entity |
| Predicate | offersProduct |
P10882
|
FINISHED |
| Object |
Ola Prime
Ola Prime is a premium ride category from Ola Cabs that provides higher-comfort vehicles and enhanced in-car amenities for passengers.
|
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 Prime | Statement: [Ola Cabs, offersProduct, Ola Prime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ola Prime Context triple: [Ola Cabs, offersProduct, Ola Prime]
-
A.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
B.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
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.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
E.
Mikrolimano
Mikrolimano is a picturesque small harbor and marina in Piraeus, Greece, known for its waterfront tavernas, seafood restaurants, and vibrant nightlife.
- 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 Prime Triple: [Ola Cabs, offersProduct, Ola Prime]
Generated description
Ola Prime is a premium ride category from Ola Cabs that provides higher-comfort vehicles and enhanced in-car amenities for passengers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ola Prime Target entity description: Ola Prime is a premium ride category from Ola Cabs that provides higher-comfort vehicles and enhanced in-car amenities for passengers.
-
A.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
B.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
C.
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.
-
D.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
E.
Mikrolimano
Mikrolimano is a picturesque small harbor and marina in Piraeus, Greece, known for its waterfront tavernas, seafood restaurants, and vibrant nightlife.
- 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.