Triple

T3623879
Position Surface form Disambiguated ID Type / Status
Subject Adrian Smith E76789 entity
Predicate notableWork P4 FINISHED
Object Jeddah Tower E375253 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: Jeddah Tower | Statement: [Adrian Smith, notableWork, Jeddah Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeddah Tower
Context triple: [Adrian Smith, notableWork, Jeddah Tower]
  • A. Jeddah Tower chosen
    Jeddah Tower is an under-construction skyscraper in Jeddah, Saudi Arabia, planned to surpass one kilometer in height and become the tallest building in the world.
  • B. Musamman Burj
    Musamman Burj is an elegant octagonal marble tower and pavilion within Agra Fort, famed as the place where Mughal emperor Shah Jahan was imprisoned with a view of the Taj Mahal.
  • C. Burj Khalifa
    Burj Khalifa is the world’s tallest skyscraper, a landmark of modern engineering and architecture located in Dubai, United Arab Emirates.
  • D. Khalifa Sports Tower
    Khalifa Sports Tower is a landmark skyscraper in Doha, Qatar, built as a focal point of the Aspire Zone sports complex and known for its distinctive torch-like design.
  • E. Burj Al Arab
    Burj Al Arab is a luxury hotel in Dubai famous for its sail-shaped silhouette and status as one of the most iconic and opulent hotels in the world.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2d9845c8190ad65b2471000dfa0 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3852e60819092db2992e945a4c7 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:23 p.m.