Triple

T19052447
Position Surface form Disambiguated ID Type / Status
Subject Omihachiman Station E466293 entity
Predicate railwayLine P848 FINISHED
Object Ohmi Railway Yōkaichi Line
The Ohmi Railway Yōkaichi Line is a regional railway line in Shiga Prefecture, Japan, operated by Ohmi Railway and connecting local communities including the city of Ōmihachiman.
E2020444 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: Ohmi Railway Yōkaichi Line | Statement: [Omihachiman Station, railwayLine, Ohmi Railway Yōkaichi Line]
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: Ohmi Railway Yōkaichi Line
Triple: [Omihachiman Station, railwayLine, Ohmi Railway Yōkaichi Line]
Generated description
The Ohmi Railway Yōkaichi Line is a regional railway line in Shiga Prefecture, Japan, operated by Ohmi Railway and connecting local communities including the city of Ōmihachiman.

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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc031ff881908e8c68c7aaff3733 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a78132b08190ae997a74baffd39e completed June 19, 2026, 2:20 a.m.
NEDg Description generation batch_6a34a84e9e3881909614d79de44dd3cc completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a8e08dc8819095892aefb102d650 completed June 19, 2026, 2:26 a.m.
Created at: April 10, 2026, 12:03 p.m.