Triple

T36579649
Position Surface form Disambiguated ID Type / Status
Subject Naruto City E902353 entity
Predicate hasCulturalAttraction P3114 FINISHED
Object Naruto Onsen resorts
Naruto Onsen resorts are a group of traditional Japanese hot spring inns in Naruto City, known for their relaxing baths, scenic coastal views, and access to local cultural attractions.
E2190139 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: Naruto Onsen resorts | Statement: [Naruto City, hasCulturalAttraction, Naruto Onsen resorts]
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: Naruto Onsen resorts
Triple: [Naruto City, hasCulturalAttraction, Naruto Onsen resorts]
Generated description
Naruto Onsen resorts are a group of traditional Japanese hot spring inns in Naruto City, known for their relaxing baths, scenic coastal views, and access to local cultural attractions.

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_69f76e64d8908190868473959a250b94 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c2cd906c8190a83f03e234525d59 completed May 3, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f914994c81909a77fe6852d835ec completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39fa788fe081908e2ea88e585ea7c7 completed June 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a39faf7f4b08190b433e3a77f32bedd completed June 23, 2026, 3:18 a.m.
Created at: May 3, 2026, 4:11 p.m.