Triple

T21362074
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba E526806 entity
Predicate hasLandmark P105 FINISHED
Object Tsukuba Expo Center 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: Tsukuba Expo Center | Statement: [Tsukuba, hasLandmark, Tsukuba Expo Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukuba Expo Center
Context triple: [Tsukuba, hasLandmark, Tsukuba Expo Center]
  • A. Tsukuba Expo Center chosen
    Tsukuba Expo Center is a science museum and planetarium in Tsukuba, Japan, known for its interactive exhibits on science and technology.
  • B. Tsukuba International Congress Center
    Tsukuba International Congress Center is a major convention and conference facility in Tsukuba, Japan, used for international academic, scientific, and professional events.
  • C. Makuhari Messe
    Makuhari Messe is a major convention and exhibition center in Chiba, Japan, known for hosting large-scale trade shows, concerts, and events.
  • D. International Exhibition Center Osaka
    International Exhibition Center Osaka is a major convention and exhibition complex in Osaka, Japan, known for hosting large-scale trade shows, conferences, and events.
  • E. NEC Exhibition Centre
    NEC Exhibition Centre is a major exhibition and conference venue located near Birmingham, England, hosting large-scale trade shows, concerts, and events.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06b219c81908f7674ae459e7931 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.