Triple

T37060744
Position Surface form Disambiguated ID Type / Status
Subject 京都府京田辺市 E917315 entity
Predicate 主な観光地 P5644 FINISHED
Object 普賢寺ふれあいの駅(農産物直売所)
普賢寺ふれあいの駅(農産物直売所)は、京田辺市産の新鮮な農産物や特産品が並ぶ、地域の交流拠点となっている直売施設です。
E2211458 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: 普賢寺ふれあいの駅(農産物直売所) | Statement: [京都府京田辺市, 主な観光地, 普賢寺ふれあいの駅(農産物直売所)]
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: 普賢寺ふれあいの駅(農産物直売所)
Triple: [京都府京田辺市, 主な観光地, 普賢寺ふれあいの駅(農産物直売所)]
Generated description
普賢寺ふれあいの駅(農産物直売所)は、京田辺市産の新鮮な農産物や特産品が並ぶ、地域の交流拠点となっている直売施設です。

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_69fb35c058a881909b7ffc2258a656ff completed May 6, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c53fd988190aaf6521e5984470b completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e943fdef48190b1487178b6dbe237 completed June 26, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a3eedfa8f3481908950dbde596ea364 completed June 26, 2026, 9:24 p.m.
Created at: May 3, 2026, 4:14 p.m.