Triple

T27275128
Position Surface form Disambiguated ID Type / Status
Subject Sakawa River E688165 entity
Predicate hasJapaneseName P9882 FINISHED
Object 酒匂川
酒匂川は、神奈川県西部を流れ相模湾へ注ぐ、箱根山麓を源流とする一級河川です。
E1764299 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: 酒匂川 | Statement: [Sakawa River, hasJapaneseName, 酒匂川]
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: 酒匂川
Triple: [Sakawa River, hasJapaneseName, 酒匂川]
Generated description
酒匂川は、神奈川県西部を流れ相模湾へ注ぐ、箱根山麓を源流とする一級河川です。

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6272737c08190b3d33f2c92fdf2ff completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262914c608190a9780855e97e6083 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a1269853d3481909e18f00729a01d65 completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 11:02 a.m.