Triple

T10319041
Position Surface form Disambiguated ID Type / Status
Subject Expo 2017 sphere (Nur Alem) E242092 entity
Predicate event P1664 FINISHED
Object Expo 2017 E102574 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: Expo 2017 | Statement: [Expo 2017 sphere (Nur Alem), event, Expo 2017]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo 2017
Context triple: [Expo 2017 sphere (Nur Alem), event, Expo 2017]
  • A. Expo 2017 chosen
    Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
  • B. Expo 2030
    Expo 2030 is a planned future World Expo, an international exhibition that will showcase global innovations, culture, and cooperation in the early 2030s.
  • C. Expo 2025
    Expo 2025 is a World Expo scheduled to be held in Osaka, Japan, focusing on innovation and global collaboration around the theme of designing future societies.
  • D. Expo 2020
    Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
  • E. Expo 2002
    Expo 2002 was the sixth Swiss national exposition, a large-scale cultural and technological showcase held in 2002 across several sites in the country.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ca62b48190844b4cbf55d53a43 completed April 7, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.