Triple

T36653871
Position Surface form Disambiguated ID Type / Status
Subject Minami Boso Quasi-National Park E904936 entity
Predicate contains P35 FINISHED
Object Minamiboso City coastal area
The Minamiboso City coastal area is a scenic shoreline region in southern Chiba Prefecture, Japan, known for its rugged capes, sandy beaches, and mild climate that attract tourists and outdoor enthusiasts.
E2198117 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: Minamiboso City coastal area | Statement: [Minami Boso Quasi-National Park, contains, Minamiboso City coastal area]
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: Minamiboso City coastal area
Triple: [Minami Boso Quasi-National Park, contains, Minamiboso City coastal area]
Generated description
The Minamiboso City coastal area is a scenic shoreline region in southern Chiba Prefecture, Japan, known for its rugged capes, sandy beaches, and mild climate that attract tourists and outdoor enthusiasts.

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_69f76e6e3b908190970251b30f76ad71 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c73571f08190aff91b7ba61eb35a completed May 3, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c171bf2f48190a32e271e5bfe090f completed June 24, 2026, 5:42 p.m.
NEDg Description generation batch_6a3c184624f881908c74f935a525eff8 completed June 24, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_6a3c50bb77bc8190a14887c325a36f8c completed June 24, 2026, 9:48 p.m.
Created at: May 3, 2026, 4:11 p.m.