Triple

T3518171
Position Surface form Disambiguated ID Type / Status
Subject RTA Dubai E74356 entity
Predicate service P4690 FINISHED
Object Dubai Bus E17993 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: Dubai Bus | Statement: [RTA Dubai, service, Dubai Bus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai Bus
Context triple: [RTA Dubai, service, Dubai Bus]
  • A. Dubai Bus chosen
    Dubai Bus is the city’s public bus network, providing extensive, scheduled urban and intercity transportation across Dubai and surrounding areas.
  • B. Dubai Tram
    Dubai Tram is a modern light rail transit system serving key residential and commercial areas along Dubai’s Al Sufouh and Marina districts.
  • C. Dubai Water Bus
    The Dubai Water Bus is a public marine transit service that operates air-conditioned passenger boats along Dubai’s waterways, providing an alternative to road transport for commuters and tourists.
  • D. Dubai Taxi
    Dubai Taxi is a government-regulated taxi service in Dubai that provides metered transportation across the city and complements the public transit network.
  • E. Dubai Metro
    The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc32f90081908960acb3e94402be completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e80cd588190ae012f151ef59c52 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.