Triple

T31016509
Position Surface form Disambiguated ID Type / Status
Subject 大熊町 E790338 entity
Predicate partOf P40 FINISHED
Object 福島県浜通り地方
福島県浜通り地方は、福島県の太平洋沿岸部に位置し、原発立地地域や温暖な気候、漁業・工業などで知られる地域です。
 E1942999 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: 福島県浜通り地方 | Statement: [大熊町, partOf, 福島県浜通り地方]
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: 福島県浜通り地方
Triple: [大熊町, partOf, 福島県浜通り地方]
Generated description
福島県浜通り地方は、福島県の太平洋沿岸部に位置し、原発立地地域や温暖な気候、漁業・工業などで知られる地域です。

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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6948bab748190bcbc1e94d657fba0 completed May 3, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a291840789c8190ad72aa9a28a5216e completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a291c53558c819099a77714972bf20d completed June 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a291d3d6f788190a45cbe9c2d23e4f5 completed June 10, 2026, 8:15 a.m.
Created at: April 29, 2026, 8:57 p.m.