Triple

T1124203
Position Surface form Disambiguated ID Type / Status
Subject Kaiyukan E24681 entity
Predicate hasExhibit P35 FINISHED
Object Japan Forest E21101 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: Japan Forest | Statement: [Kaiyukan, hasExhibit, Japan Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Forest
Context triple: [Kaiyukan, hasExhibit, Japan Forest]
  • A. Japan Forest chosen
    Japan Forest is a themed exhibit area at Osaka’s Aquarium Kaiyukan that recreates a lush Japanese woodland ecosystem with native plants and animals.
  • B. Kasugayama Primeval Forest
    Kasugayama Primeval Forest is an ancient, sacred woodland in Nara, Japan, renowned for its undisturbed ecosystem and deep cultural and religious significance.
  • C. Karura Forest
    Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
  • D. Shikotsu-Toya National Park
    Shikotsu-Toya National Park is a scenic national park in Hokkaido, Japan, known for its caldera lakes, volcanic landscapes, and hot spring resorts.
  • E. Akan-Mashu National Park
    Akan-Mashu National Park is a scenic protected area in eastern Hokkaido, Japan, renowned for its volcanic landscapes, crystal-clear caldera lakes, and rich Ainu cultural heritage.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbd92a8c8190a16e55f3f739010f completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539d51848190a9eb9ddaa7e4c6a8 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:44 p.m.