Triple

T30312920
Position Surface form Disambiguated ID Type / Status
Subject 大分市 E770973 entity
Predicate locatedOnBodyOfWater P212 FINISHED
Object 瀬戸内海
瀬戸内海は、本州・四国・九州に囲まれた多島海で、穏やかな気候と豊かな漁場、美しい景観で知られる日本有数の内海です。
 E1969876 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: 瀬戸内海 | Statement: [大分市, locatedOnBodyOfWater, 瀬戸内海]
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: 瀬戸内海
Triple: [大分市, locatedOnBodyOfWater, 瀬戸内海]
Generated description
瀬戸内海は、本州・四国・九州に囲まれた多島海で、穏やかな気候と豊かな漁場、美しい景観で知られる日本有数の内海です。

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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6816ceb688190b2e5f01205f3c550 completed May 2, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b5612867081909e2c7521b2e4bdf4 completed June 12, 2026, 12:42 a.m.
NEDg Description generation batch_6a2b57f726348190accde8145f1b81fb completed June 12, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2b709e1f988190a4c8d67d5994f47a completed June 12, 2026, 2:36 a.m.
Created at: April 29, 2026, 7:51 p.m.