Triple

T18411747
Position Surface form Disambiguated ID Type / Status
Subject Expo 2012 Yeosu E441774 entity
Predicate shortName P43 FINISHED
Object Expo 2012 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 2012 | Statement: [Expo 2012 Yeosu, shortName, Expo 2012]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo 2012
Context triple: [Expo 2012 Yeosu, shortName, Expo 2012]
  • A. Expo 2012 Yeosu chosen
    Expo 2012 Yeosu was an international exposition held in Yeosu, South Korea, focused on the theme of the oceans and coastal development.
  • B. 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.
  • C. Expo 2017
    Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
  • 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. Shanghai World Expo 2010
    Shanghai World Expo 2010 was a major international exposition held in Shanghai, China, showcasing global culture, technology, and urban innovation under the theme “Better City, Better Life.”
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a24e130819082b92f98d8d5fa3c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.