Triple

T6741787
Position Surface form Disambiguated ID Type / Status
Subject FIL E154099 entity
Predicate venue P373 FINISHED
Object Expo Guadalajara E154098 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 Guadalajara | Statement: [FIL, venue, Expo Guadalajara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo Guadalajara
Context triple: [FIL, venue, Expo Guadalajara]
  • A. Expo Guadalajara chosen
    Expo Guadalajara is a major convention and exhibition center in Guadalajara, Mexico, known for hosting large-scale events, trade shows, and international fairs.
  • B. Expo 93
    Expo 93 was an international exposition held in 1993 in Daejeon, South Korea, showcasing advances in science, technology, and culture.
  • C. Ciudad Expo
    Ciudad Expo is a metro station on the Seville Metro network serving the municipality of Mairena del Aljarafe in the Seville metropolitan area.
  • D. 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.
  • E. Expo '81
    Expo '81 was a world's fair held in 1981, serving as the subsequent international exposition after Expo '75.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b245988190a9d5260f4872bbea completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0fb79c8190ae9871b7b2d9d733 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.