Triple

T37061649
Position Surface form Disambiguated ID Type / Status
Subject 守口市 E917337 entity
Predicate 主な道路 P5943 FINISHED
Object 近畿自動車道
近畿自動車道は、大阪府を中心とする近畿地方の都市間交通を担う高速道路で、西日本高速道路株式会社(NEXCO西日本)が管理する近畿自動車道の一部を構成している路線です。
E2213228 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: 近畿自動車道 | Statement: [守口市, 主な道路, 近畿自動車道]
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: 近畿自動車道
Triple: [守口市, 主な道路, 近畿自動車道]
Generated description
近畿自動車道は、大阪府を中心とする近畿地方の都市間交通を担う高速道路で、西日本高速道路株式会社(NEXCO西日本)が管理する近畿自動車道の一部を構成している路線です。

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f6dbc6881908dd57563630fe776 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdba8da88190adc2fcd55be49c12 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3f4ec12e088190a4c5c53493e13826 completed June 27, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3f4f1cfa208190bd07ab6aee82fa6c completed June 27, 2026, 4:18 a.m.
Created at: May 3, 2026, 4:14 p.m.