Triple

T4662830
Position Surface form Disambiguated ID Type / Status
Subject Expo 2017 E102574 entity
Predicate previousExpo P58161 FINISHED
Object Expo 2012 Yeosu E441774 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 2012 Yeosu | Statement: [Expo 2017, previousExpo, Expo 2012 Yeosu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo 2012 Yeosu
Context triple: [Expo 2017, previousExpo, Expo 2012 Yeosu]
  • 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. Gwangju Biennale
    The Gwangju Biennale is a major contemporary art exhibition held every two years in Gwangju, South Korea, recognized as one of Asia’s leading international art biennials.
  • 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 (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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfafcd3908190aabf7975017ce337 completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.