Triple

T6508716
Position Surface form Disambiguated ID Type / Status
Subject Expo 93 E150074 entity
Predicate officialName P66 FINISHED
Object Daejeon Expo '93 E601278 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: Daejeon Expo '93 | Statement: [Expo 93, officialName, Daejeon Expo '93]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daejeon Expo '93
Context triple: [Expo 93, officialName, Daejeon Expo '93]
  • A. Expo 93 Daejeon chosen
    Expo 93 Daejeon was an international exposition held in Daejeon, South Korea, showcasing science, technology, and culture as part of a world’s fair–style event.
  • B. Expo 2012 Yeosu
    Expo 2012 Yeosu was an international exposition held in Yeosu, South Korea, focused on the theme of the oceans and coastal development.
  • C. Daejeon Convention Center
    Daejeon Convention Center is a major exhibition and conference venue in Daejeon, South Korea, hosting large-scale conventions, trade shows, and cultural events.
  • D. Daejeon Expo Science Park
    Daejeon Expo Science Park is a science-themed park and exhibition area in Daejeon, South Korea, originally developed for the 1993 Daejeon Expo and now serving as an educational and recreational attraction.
  • E. Yokohama Expo 1989
    Yokohama Expo 1989 was a world exposition held in Yokohama, Japan, showcasing futuristic urban culture, technology, and waterfront development.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f386aa08190bfc8592a92ec6339 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeca8ab88190aa8464671bdde2ec completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 1:43 p.m.