Triple

T22267391
Position Surface form Disambiguated ID Type / Status
Subject 高千穂町 E550384 entity
Predicate borderedBy P224 FINISHED
Object 五ヶ瀬町
五ヶ瀬町は、宮崎県北西部に位置し、九州山地の豊かな自然とスキー場などで知られる小さな山間の町です。
 E1528295 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: 五ヶ瀬町 | Statement: [高千穂町, borderedBy, 五ヶ瀬町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 五ヶ瀬町
Context triple: [高千穂町, borderedBy, 五ヶ瀬町]
  • A. Onagawa Town
    Onagawa Town is a coastal municipality in northeastern Japan known for its fishing industry and for being heavily affected and subsequently rebuilt after the 2011 Tōhoku earthquake and tsunami.
  • B. Takahata Town
    Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
  • C. Oyamazaki Town
    Oyamazaki Town is a small municipality in Kyoto Prefecture, Japan, known for its historical significance as a strategic site and for attractions such as the Asahi Beer Oyamazaki Villa Museum of Art.
  • D. Mamurogawa Town
    Mamurogawa Town is a small rural municipality in northern Japan known for its scenic mountain landscapes and agricultural traditions within Yamagata Prefecture.
  • E. Nishihara Town
    Nishihara Town is a municipality in Okinawa Prefecture, Japan, known for its proximity to Naha and its mix of suburban residential areas, agriculture, and educational institutions.
  • 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: 五ヶ瀬町
Triple: [高千穂町, borderedBy, 五ヶ瀬町]
Generated description
五ヶ瀬町は、宮崎県北西部に位置し、九州山地の豊かな自然とスキー場などで知られる小さな山間の町です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 五ヶ瀬町
Target entity description: 五ヶ瀬町は、宮崎県北西部に位置し、九州山地の豊かな自然とスキー場などで知られる小さな山間の町です。
  • A. Onagawa Town
    Onagawa Town is a coastal municipality in northeastern Japan known for its fishing industry and for being heavily affected and subsequently rebuilt after the 2011 Tōhoku earthquake and tsunami.
  • B. Takahata Town
    Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
  • C. Oyamazaki Town
    Oyamazaki Town is a small municipality in Kyoto Prefecture, Japan, known for its historical significance as a strategic site and for attractions such as the Asahi Beer Oyamazaki Villa Museum of Art.
  • D. Mamurogawa Town
    Mamurogawa Town is a small rural municipality in northern Japan known for its scenic mountain landscapes and agricultural traditions within Yamagata Prefecture.
  • E. Nishihara Town
    Nishihara Town is a municipality in Okinawa Prefecture, Japan, known for its proximity to Naha and its mix of suburban residential areas, agriculture, and educational institutions.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bd0ea88190b3574883b695d56c completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0abc9ee4e081908115bce589353687 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd35be908190ba8a753fa04ba7a2 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe9a93608190bf3022f52ff8d2e9 completed May 18, 2026, 7:24 a.m.
Created at: April 16, 2026, 8:39 p.m.