Triple

T18992860
Position Surface form Disambiguated ID Type / Status
Subject Expo 2020 Dubai organizers E464732 entity
Predicate event P1664 FINISHED
Object World Expo 2020 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: World Expo 2020 | Statement: [Expo 2020 Dubai organizers, event, World Expo 2020]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Expo 2020
Context triple: [Expo 2020 Dubai organizers, event, World Expo 2020]
  • A. Expo 2020 chosen
    Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
  • B. 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.
  • C. 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.
  • D. Expo 2017
    Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
  • E. World Expo 88
    World Expo 88 was a major international exposition held in 1988 that showcased global culture, technology, and innovation and significantly transformed its host city's riverfront and international profile.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d67eedc88190bfb7b327b47db76d completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.