Triple

T33922537
Position Surface form Disambiguated ID Type / Status
Subject Ube E869652 entity
Predicate transportInfrastructure P1777 FINISHED
Object JR West Onoda Line
The JR West Onoda Line is a regional railway line in Yamaguchi Prefecture, Japan, operated by West Japan Railway Company (JR West), connecting industrial and residential areas including the city of Ube.
E2297514 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: JR West Onoda Line | Statement: [Ube, transportInfrastructure, JR West Onoda 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: JR West Onoda Line
Triple: [Ube, transportInfrastructure, JR West Onoda Line]
Generated description
The JR West Onoda Line is a regional railway line in Yamaguchi Prefecture, Japan, operated by West Japan Railway Company (JR West), connecting industrial and residential areas including the city of Ube.

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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701ee256881909623d25a2590a5c9 completed May 3, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a8390860fd48190b7e09bca7d3545fe completed Aug. 17, 2026, 10:51 p.m.
NEDg Description generation batch_6a8391005f208190974549957dcf8c16 completed Aug. 17, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a839151a82481909300d8bd2507da1d completed Aug. 17, 2026, 10:55 p.m.
Created at: May 1, 2026, 1:49 a.m.