Triple

T36861048
Position Surface form Disambiguated ID Type / Status
Subject Hashira Island E910936 entity
Predicate partOf P40 FINISHED
Object Yamaguchi Prefecture islands
Yamaguchi Prefecture islands are a scattered group of coastal and offshore islands in western Japan’s Yamaguchi Prefecture, known for their scenic seascapes, fishing communities, and maritime history.
E2209686 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: Yamaguchi Prefecture islands | Statement: [Hashira Island, partOf, Yamaguchi Prefecture islands]
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: Yamaguchi Prefecture islands
Triple: [Hashira Island, partOf, Yamaguchi Prefecture islands]
Generated description
Yamaguchi Prefecture islands are a scattered group of coastal and offshore islands in western Japan’s Yamaguchi Prefecture, known for their scenic seascapes, fishing communities, and maritime history.

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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfcfe7a881908820d8db6e519442 completed May 3, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e574aaed8819091034858db947eb1 completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e590379ec81908abaeb5d94e0a87a completed June 26, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a3e848175bc8190965c8c71a1889cb9 completed June 26, 2026, 1:54 p.m.
Created at: May 3, 2026, 4:13 p.m.