Triple

T17067142
Position Surface form Disambiguated ID Type / Status
Subject Muscat road network E414116 entity
Predicate hasComponent P35 FINISHED
Object Sultan Qaboos Street E1248042 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: Sultan Qaboos Street | Statement: [Muscat road network, hasComponent, Sultan Qaboos Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sultan Qaboos Street
Context triple: [Muscat road network, hasComponent, Sultan Qaboos Street]
  • A. Sultan Qaboos Street chosen
    Sultan Qaboos Street is a major arterial highway in Muscat, Oman, serving as one of the city’s primary transportation corridors.
  • B. Sheikh Zayed Bin Sultan Street
    Sheikh Zayed Bin Sultan Street is a major arterial road in Abu Dhabi that runs across Abu Dhabi Island and connects key districts of the city.
  • C. Sheikh Rashid Road
    Sheikh Rashid Road is a major thoroughfare in Dubai, United Arab Emirates, that connects key districts and landmarks across the city.
  • D. King Fahd Road
    King Fahd Road is a major thoroughfare in Riyadh, Saudi Arabia, known for its prominent commercial, business, and luxury hotel developments.
  • E. Sheikh Zayed Road
    Sheikh Zayed Road is Dubai’s main multi-lane highway and commercial artery, lined with skyscrapers and connecting key districts across the city and beyond.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbddd708190a6192466b7dfd606 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eda04d08190b450fbfc6ccb9054 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.