Triple

T16519704
Position Surface form Disambiguated ID Type / Status
Subject Kiso Valley E401284 entity
Predicate accessPoint P1985 FINISHED
Object Nakatsugawa
Nakatsugawa is a city in Gifu Prefecture, Japan, known as a historic post town gateway to the scenic Kiso Valley and the Nakasendō route.
 E1521062 NE FINISHED

How this triple was built (4 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: Nakatsugawa | Statement: [Kiso Valley, accessPoint, Nakatsugawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakatsugawa
Context triple: [Kiso Valley, accessPoint, Nakatsugawa]
  • A. Nakatsugawa
    Nakatsugawa is a river associated with the city of Atsugi in Kanagawa Prefecture, Japan.
  • B. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • C. Kakogawa
    Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
  • D. Tadaka
    Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
  • E. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nakatsugawa
Triple: [Kiso Valley, accessPoint, Nakatsugawa]
Generated description
Nakatsugawa is a city in Gifu Prefecture, Japan, known as a historic post town gateway to the scenic Kiso Valley and the Nakasendō route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakatsugawa
Target entity description: Nakatsugawa is a city in Gifu Prefecture, Japan, known as a historic post town gateway to the scenic Kiso Valley and the Nakasendō route.
  • A. Nakatsugawa
    Nakatsugawa is a river associated with the city of Atsugi in Kanagawa Prefecture, Japan.
  • B. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • C. Kakogawa
    Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
  • D. Tadaka
    Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
  • E. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • F. None of above. chosen

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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7f8a1481909fe6b3c16a72059b completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96dfbd5481908eaaa45696e5b09e completed May 18, 2026, 4:34 a.m.
NEDg Description generation batch_6a0a980276bc81908e9f6c6596880a8d completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a986105bc819082556e8dec156ab6 completed May 18, 2026, 4:41 a.m.
Created at: April 10, 2026, 5:14 a.m.