Triple

T18754419
Position Surface form Disambiguated ID Type / Status
Subject Nur Alem museum of future energy E458610 entity
Predicate relatedEvent P37 FINISHED
Object Expo 2017 Astana 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: Expo 2017 Astana | Statement: [Nur Alem museum of future energy, relatedEvent, Expo 2017 Astana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo 2017 Astana
Context triple: [Nur Alem museum of future energy, relatedEvent, Expo 2017 Astana]
  • 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. Kazakhstan Pavilion complex
    The Kazakhstan Pavilion complex is a landmark exhibition and cultural center in Astana that gained prominence as the host site of the futuristic Nur Alem spherical building from Expo 2017.
  • C. Expo 2020
    Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
  • D. 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.
  • E. 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.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579ef4ee48190a9892ac9787ffe37 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.