Triple

T18203782
Position Surface form Disambiguated ID Type / Status
Subject Dubai road network E435855 entity
Predicate hasComponent P35 FINISHED
Object Business Bay Crossing 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: Business Bay Crossing | Statement: [Dubai road network, hasComponent, Business Bay Crossing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Business Bay Crossing
Context triple: [Dubai road network, hasComponent, Business Bay Crossing]
  • A. Business Bay Crossing chosen
    Business Bay Crossing is a major road bridge in Dubai that carries traffic across Dubai Creek, helping connect the city’s central and business districts.
  • B. Business Bay
    Business Bay is a major mixed-use commercial and residential district in Dubai known for its high-rise offices, hotels, and proximity to Downtown Dubai.
  • C. Business Bay (Dubai)
    Business Bay (Dubai) is a major mixed-use commercial and residential district in central Dubai known for its skyscrapers, hotels, and proximity to Downtown Dubai and the Burj Khalifa.
  • D. Bourse
    Bourse is a Paris Métro station in the 2nd arrondissement, named after and serving the historic Paris stock exchange area.
  • E. Business Jump
    Business Jump was a Japanese seinen manga magazine published by Shueisha, known for serializing popular adult-oriented series in the late 20th and early 21st centuries.
  • 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.