Triple

T9319475
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto Prefecture E224208 entity
Predicate contains P35 FINISHED
Object Hitoyoshi
Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
 E875097 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: Hitoyoshi | Statement: [Kumamoto Prefecture, contains, Hitoyoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hitoyoshi
Context triple: [Kumamoto Prefecture, contains, Hitoyoshi]
  • A. Yurihonjō
    Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
  • B. Kamishihoro
    Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Hadano
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • E. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • 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: Hitoyoshi
Triple: [Kumamoto Prefecture, contains, Hitoyoshi]
Generated description
Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hitoyoshi
Target entity description: Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
  • A. Yurihonjō
    Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
  • B. Kamishihoro
    Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Hadano
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • E. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
NEDg Description generation batch_69d96d85f9648190a43c8c924f5139e3 completed April 10, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69d96e1a36688190b97ced745bc6a30d completed April 10, 2026, 9:39 p.m.
Created at: March 30, 2026, 7:38 p.m.