Triple

T33240747
Position Surface form Disambiguated ID Type / Status
Subject Oirase Gorge E850954 entity
Predicate hasWaterfall P13549 FINISHED
Object Kumoi Falls
Kumoi Falls is a scenic waterfall located within Japan’s Oirase Gorge, known for its picturesque cascades amid lush forested surroundings.
E2044647 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: Kumoi Falls | Statement: [Oirase Gorge, hasWaterfall, Kumoi Falls]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kumoi Falls
Triple: [Oirase Gorge, hasWaterfall, Kumoi Falls]
Generated description
Kumoi Falls is a scenic waterfall located within Japan’s Oirase Gorge, known for its picturesque cascades amid lush forested surroundings.

Provenance (5 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_69f34962386c81909ddc3bf9e18ddeb8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6daefa9208190b4e4e16999687a4b completed May 3, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35430d5df081909a3aa0f8d1dee1f7 completed June 19, 2026, 1:24 p.m.
NEDg Description generation batch_6a3543fd83a88190b300672a104d9ce4 completed June 19, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a3544cd2b448190aad907008bda0dcb completed June 19, 2026, 1:31 p.m.
Created at: May 1, 2026, 1:31 a.m.