Triple

T32601127
Position Surface form Disambiguated ID Type / Status
Subject Kinu limited express E833376 entity
Predicate endPointRegion P14201 FINISHED
Object Kinugawa area
The Kinugawa area is a hot spring and resort region in Tochigi Prefecture, Japan, known for its onsen hotels, scenic river valley, and proximity to the Nikko sightseeing area.
 E2016053 NE FINISHED

How this triple was built (3 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: Kinugawa area | Statement: [Kinu limited express, endPointRegion, Kinugawa 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: Kinugawa area
Triple: [Kinu limited express, endPointRegion, Kinugawa area]
Generated description
The Kinugawa area is a hot spring and resort region in Tochigi Prefecture, Japan, known for its onsen hotels, scenic river valley, and proximity to the Nikko sightseeing area.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: endPointRegion
Context triple: [Kinu limited express, endPointRegion, Kinugawa area]
  • A. endpointRegion chosen
    Indicates that one entity serves as the geographic or logical region in which the other entity’s endpoint is located or configured.
  • B. bearerRegion
    Indicates the geographic or administrative region in which the bearer of something (such as a document, asset, or right) is located or recognized.
  • C. endPoint
    Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
  • D. easternTerminusRegion
    Indicates the region in which something (such as a route, line, or path) has its eastern endpoint or terminus.
  • E. endsInRegion
    Indicates that an entity’s spatial or temporal extent terminates within the boundaries of a specified region.
  • F. None of above.

Provenance (6 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_69f3492ab63c8190aec24d5003b47c29 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c69918108190afce924b83211903 completed May 3, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349297413c8190be19da7378cadf26 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349371b8d88190a2c08921c9b35d27 completed June 19, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a3493e81ad88190825bbd5b0be3800c completed June 19, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69f6bd2c138481908afa3ee3e91f8900 completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 1:05 a.m.