Triple

T15723552
Position Surface form Disambiguated ID Type / Status
Subject Furepe Falls E381164 entity
Predicate hasJapaneseName P9882 FINISHED
Object フレペの滝 E1130787 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: フレペの滝 | Statement: [Furepe Falls, hasJapaneseName, フレペの滝]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: フレペの滝
Context triple: [Furepe Falls, hasJapaneseName, フレペの滝]
  • A. Nunobiki Falls
    Nunobiki Falls is a famous series of scenic waterfalls in Kobe, Japan, celebrated for their natural beauty and cultural significance.
  • B. Shiraito Falls
    Shiraito Falls is a famous and picturesque waterfall near Mount Fuji in Japan, renowned for its many thin, white streams of spring water cascading over a wide, curved cliff.
  • C. Harajiri Falls
    Harajiri Falls is a picturesque, horseshoe-shaped waterfall in Bungo-Ōno, Ōita Prefecture, often called the “Niagara of the East” and known for its scenic views and surrounding rural landscapes.
  • D. Ryūzu Falls
    Ryūzu Falls is a scenic, dragon-shaped waterfall located in the mountainous hot-spring and lake region of Nikkō in Tochigi Prefecture, Japan.
  • E. Oshinkoshin Falls chosen
    Oshinkoshin Falls is a famous multi-tiered waterfall on Japan’s Shiretoko Peninsula, known for its scenic beauty and easy roadside access.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.