Triple
T22684130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 稚内市 |
E560862
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
豊富町
豊富町は、日本最北の都道府県である北海道に位置し、酪農や温泉資源で知られる町です。
|
E1549496
|
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: 豊富町 | Statement: [稚内市, adjacentTo, 豊富町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 豊富町 Context triple: [稚内市, adjacentTo, 豊富町]
-
A.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん！』の舞台モデルとして知られる小さな町です。
-
B.
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.
-
C.
Sakawa Town
Sakawa Town is a small rural municipality in western Kōchi Prefecture, Japan, known for its historic townscape, sake brewing, and scenic river valley setting.
-
D.
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.
-
E.
Takahata Town
Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
- 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: 豊富町 Triple: [稚内市, adjacentTo, 豊富町]
Generated description
豊富町は、日本最北の都道府県である北海道に位置し、酪農や温泉資源で知られる町です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 豊富町 Target entity description: 豊富町は、日本最北の都道府県である北海道に位置し、酪農や温泉資源で知られる町です。
-
A.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん！』の舞台モデルとして知られる小さな町です。
-
B.
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.
-
C.
Sakawa Town
Sakawa Town is a small rural municipality in western Kōchi Prefecture, Japan, known for its historic townscape, sake brewing, and scenic river valley setting.
-
D.
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.
-
E.
Takahata Town
Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17862c8a48190912a8ad09dfda795 |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f4db988190a651faf7f454c6c8 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7551043c81908323a86af4db77ce |
completed | May 18, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b764c2de88190bb1024206607d107 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:12 p.m.