Triple

T7798978
Position Surface form Disambiguated ID Type / Status
Subject Chiba E180374 entity
Predicate hasAttraction P105 FINISHED
Object Makuhari Messe E486746 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: Makuhari Messe | Statement: [Chiba, hasAttraction, Makuhari Messe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makuhari Messe
Context triple: [Chiba, hasAttraction, Makuhari Messe]
  • A. Makuhari Messe chosen
    Makuhari Messe is a major convention and exhibition center in Chiba, Japan, known for hosting large-scale trade shows, concerts, and events.
  • B. Tsukuba Expo Center
    Tsukuba Expo Center is a science museum and planetarium in Tsukuba, Japan, known for its interactive exhibits on science and technology.
  • C. Tokyo International Forum
    Tokyo International Forum is a major multi-purpose convention and arts center in central Tokyo, known for its striking glass-and-steel architecture and hosting conferences, exhibitions, and cultural events.
  • D. 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.
  • E. Tokyu Bunkamura complex
    Tokyu Bunkamura complex is a major cultural and entertainment center in Tokyo that houses concert halls, theaters, cinemas, and art spaces.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae984185881908117f9f549ffc443 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14149abc8190b172cfa8ab3b0fba completed March 31, 2026, 12:23 a.m.
Created at: March 30, 2026, 4:32 p.m.