Triple

T18203791
Position Surface form Disambiguated ID Type / Status
Subject Dubai road network E435855 entity
Predicate hasComponent P35 FINISHED
Object Umm Suqeim 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: Umm Suqeim Road | Statement: [Dubai road network, hasComponent, Umm Suqeim Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umm Suqeim Road
Context triple: [Dubai road network, hasComponent, Umm Suqeim Road]
  • A. Umm Suqeim Road chosen
    Umm Suqeim Road is a major arterial roadway in Dubai that links several key residential and industrial districts, facilitating east–west traffic across the city.
  • B. El-Kebbash Road
    El-Kebbash Road is an ancient ceremonial processional route in Luxor, Egypt, lined with hundreds of sphinx statues that once connected the Karnak and Luxor temples.
  • C. El Wad Road
    El Wad Road is a historic street in Jerusalem’s Old City that runs through the Muslim Quarter toward the Western Wall.
  • D. Salah al-Din Road
    Salah al-Din Road is a major north–south arterial highway running the length of the Gaza Strip, serving as one of its primary transportation routes.
  • E. Sahar Road
    Sahar Road is a major thoroughfare in Mumbai, India, known for providing key access to the city’s international airport and surrounding commercial areas.
  • 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.