Triple

T37864979
Position Surface form Disambiguated ID Type / Status
Subject Sagano Scenic Railway Torokko Saga Station E944445 entity
Predicate serves P98 FINISHED
Object Sagano Romantic Train
The Sagano Romantic Train is a popular sightseeing railway in Kyoto, Japan, known for its nostalgic open-air cars and scenic route through the Hozugawa River gorge, especially beautiful during autumn foliage season.
E1342032 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: Sagano Romantic Train | Statement: [Sagano Scenic Railway Torokko Saga Station, serves, Sagano Romantic Train]
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: Sagano Romantic Train
Triple: [Sagano Scenic Railway Torokko Saga Station, serves, Sagano Romantic Train]
Generated description
The Sagano Romantic Train is a popular sightseeing railway in Kyoto, Japan, known for its nostalgic open-air cars and scenic route through the Hozugawa River gorge, especially beautiful during autumn foliage season.

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_69f76eee2f9c8190b1272aa2ee55ebf5 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb27d81ec8190ae547603f78b395c completed May 6, 2026, 9:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4154246ebc8190a457e244f272e4fa completed June 28, 2026, 5:04 p.m.
NEDg Description generation batch_6a415496a88481909e69213c21dcb01e completed June 28, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_6a41552062048190916933791c8925e2 completed June 28, 2026, 5:08 p.m.
Created at: May 3, 2026, 4:19 p.m.