Triple

T1688603
Position Surface form Disambiguated ID Type / Status
Subject Ola Cabs E36498 entity
Predicate offersProduct P10882 FINISHED
Object Ola Mini E191356 NE FINISHED

How this triple was built (2 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 Mini | Statement: [Ola Cabs, offersProduct, Ola Mini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ola Mini
Context triple: [Ola Cabs, offersProduct, Ola Mini]
  • A. Ola Micro chosen
    Ola Micro is a budget-friendly ride option from Indian ride-hailing company Ola, offering low-cost cab services for short-distance urban travel.
  • B. Mikrolimano
    Mikrolimano is a picturesque small harbor and marina in Piraeus, Greece, known for its waterfront tavernas, seafood restaurants, and vibrant nightlife.
  • C. 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.
  • D. Wuling Hongguang MINI EV
    The Wuling Hongguang MINI EV is a popular ultra-compact, low-cost electric city car from China that has become known for making electric mobility widely accessible.
  • E. Lancia Ypsilon
    The Lancia Ypsilon is a small Italian city car known for its stylish design, upscale interior, and long-running popularity in the European supermini segment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8ac462f0819094e7a5751c6975c6 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.