Triple

T37061602
Position Surface form Disambiguated ID Type / Status
Subject 琵琶湖 E917336 entity
Predicate 関連インフラ P43089 FINISHED
Object 瀬田唐橋
瀬田唐橋は、滋賀県大津市で瀬田川に架かる歴史ある橋で、日本三名橋の一つとして知られる名勝です。
 E2209928 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: 瀬田唐橋 | Statement: [琵琶湖, 関連インフラ, 瀬田唐橋]
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: 瀬田唐橋
Triple: [琵琶湖, 関連インフラ, 瀬田唐橋]
Generated description
瀬田唐橋は、滋賀県大津市で瀬田川に架かる歴史ある橋で、日本三名橋の一つとして知られる名勝です。

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_6a3e8c5715e8819082c99d589abd3baa completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e95ede37c8190976559fecd7917b3 completed June 26, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9914a3e48190bf59606bacf80c87 completed June 26, 2026, 3:21 p.m.
Created at: May 3, 2026, 4:14 p.m.