Triple

T27425693
Position Surface form Disambiguated ID Type / Status
Subject Sotetsu Railway E690477 entity
Predicate operatesLine P15252 FINISHED
Object Sotetsu Izumino Line
The Sotetsu Izumino Line is a commuter railway line in Kanagawa Prefecture, Japan, providing suburban transit service as part of the Sagami Railway (Sotetsu) network.
E2293944 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: Sotetsu Izumino Line | Statement: [Sotetsu Railway, operatesLine, Sotetsu Izumino 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: Sotetsu Izumino Line
Triple: [Sotetsu Railway, operatesLine, Sotetsu Izumino Line]
Generated description
The Sotetsu Izumino Line is a commuter railway line in Kanagawa Prefecture, Japan, providing suburban transit service as part of the Sagami Railway (Sotetsu) network.

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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d546b2881909d0acb99ce291de1 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b59b721e481909b017b2be9b6e4dc completed Aug. 11, 2026, 5:19 p.m.
NEDg Description generation batch_6a7b59da86708190a07f2681aa69906c completed Aug. 11, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_6a7b5a2977008190988dc89fcc1b4b33 completed Aug. 11, 2026, 5:21 p.m.
Created at: April 27, 2026, 12:40 p.m.