Triple

T5643494
Position Surface form Disambiguated ID Type / Status
Subject Nunobiki Falls E124325 entity
Predicate hasPart P35 FINISHED
Object Mentaki Falls E546335 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: Mentaki Falls | Statement: [Nunobiki Falls, hasPart, Mentaki Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mentaki Falls
Context triple: [Nunobiki Falls, hasPart, Mentaki Falls]
  • A. Pandav Falls
    Pandav Falls is a scenic waterfall near Panna in Madhya Pradesh, India, known for its lush surroundings, mythological association with the Pandavas, and tranquil natural pools.
  • B. Ontaki Falls chosen
    Ontaki Falls is one of the main cascades within the famous Nunobiki Falls waterfall complex near Kobe, Japan, known for its scenic beauty and cultural significance.
  • C. Mimbalot Falls
    Mimbalot Falls is a scenic multi-tiered waterfall and popular eco-tourism spot located in Iligan City on the island of Mindanao in the Philippines.
  • D. Shimsha Falls
    Shimsha Falls is a scenic waterfall on the Shimsha River in Karnataka, India, known for its multi-tiered cascades and surrounding natural beauty.
  • E. Bopath Ella Falls
    Bopath Ella Falls is a distinctive, leaf-shaped waterfall and popular natural attraction in Sri Lanka, known for its scenic beauty and surrounding forest.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a7cd9c819087f86f60e8b65fc3 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a14a48948190bde99c4a97fe5fa0 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:41 p.m.