Triple

T18203789
Position Surface form Disambiguated ID Type / Status
Subject Dubai road network E435855 entity
Predicate hasComponent P35 FINISHED
Object Al Wasl Road NE NERFINISHED

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: Al Wasl Road | Statement: [Dubai road network, hasComponent, Al Wasl Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Wasl Road
Context triple: [Dubai road network, hasComponent, Al Wasl Road]
  • A. Al Wasl Road chosen
    Al Wasl Road is a major arterial thoroughfare in Dubai, United Arab Emirates, running parallel to the coast and connecting several key residential and commercial districts.
  • B. Al Khaleej Road
    Al Khaleej Road is a major coastal highway in Dubai, United Arab Emirates, that runs along the Deira side of Dubai Creek and connects key commercial and residential districts.
  • C. Al Mina Road
    Al Mina Road is a major thoroughfare in Dubai that connects the port and waterfront areas to the city’s central road network.
  • D. Sheikh Rashid Road
    Sheikh Rashid Road is a major thoroughfare in Dubai, United Arab Emirates, that connects key districts and landmarks across the city.
  • E. King Fahd Road
    King Fahd Road is a major thoroughfare in Riyadh, Saudi Arabia, known for its prominent commercial, business, and luxury hotel developments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.