Triple

T12594647
Position Surface form Disambiguated ID Type / Status
Subject Nikkō National Park E300702 entity
Predicate contains P35 FINISHED
Object Kegon Falls E884579 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: Kegon Falls | Statement: [Nikkō National Park, contains, Kegon Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kegon Falls
Context triple: [Nikkō National Park, contains, Kegon Falls]
  • A. Kegon Falls chosen
    Kegon Falls is one of Japan’s most famous and scenic waterfalls, located near Lake Chūzenji in the mountainous area of Nikkō, Tochigi Prefecture.
  • B. Nunobiki Falls
    Nunobiki Falls is a famous series of scenic waterfalls in Kobe, Japan, celebrated for their natural beauty and cultural significance.
  • C. Otodome Falls
    Otodome Falls is a picturesque waterfall near Mount Fuji in Shizuoka Prefecture, Japan, renowned for its dramatic twin cascades and scenic natural surroundings.
  • D. Otowa Waterfall
    Otowa Waterfall is a famous sacred spring at Kyoto’s Kiyomizu-dera temple where visitors drink from three separate streams believed to grant health, longevity, and academic success.
  • E. 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.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.