Triple
T15206346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōchi Prefecture |
E363398
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tosa Town
Tosa Town is a small rural municipality in Japan known for its mountainous landscapes, clear rivers, and traditional agricultural communities.
|
E1473516
|
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: Tosa Town | Statement: [Kōchi Prefecture, contains, Tosa Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosa Town Context triple: [Kōchi Prefecture, contains, Tosa Town]
-
A.
Tosa City
Tosa City is a coastal municipality on the island of Shikoku in Japan, known for its fishing industry and scenic Pacific shoreline.
-
B.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
-
C.
Muroto City
Muroto City is a coastal municipality in southeastern Shikoku, Japan, known for its dramatic Pacific shoreline and the Muroto Global Geopark.
-
D.
Tagajō City
Tagajō City is a coastal municipality in northeastern Japan known for its historic Taga Castle ruins and role as an ancient regional administrative center.
-
E.
Etajima Town
Etajima Town is a coastal municipality in Hiroshima Prefecture, Japan, located on Etajima Island and known for its maritime history and scenic island environment.
- 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: Tosa Town Triple: [Kōchi Prefecture, contains, Tosa Town]
Generated description
Tosa Town is a small rural municipality in Japan known for its mountainous landscapes, clear rivers, and traditional agricultural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tosa Town Target entity description: Tosa Town is a small rural municipality in Japan known for its mountainous landscapes, clear rivers, and traditional agricultural communities.
-
A.
Tosa City
Tosa City is a coastal municipality on the island of Shikoku in Japan, known for its fishing industry and scenic Pacific shoreline.
-
B.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
-
C.
Muroto City
Muroto City is a coastal municipality in southeastern Shikoku, Japan, known for its dramatic Pacific shoreline and the Muroto Global Geopark.
-
D.
Tagajō City
Tagajō City is a coastal municipality in northeastern Japan known for its historic Taga Castle ruins and role as an ancient regional administrative center.
-
E.
Etajima Town
Etajima Town is a coastal municipality in Hiroshima Prefecture, Japan, located on Etajima Island and known for its maritime history and scenic island environment.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986cab218819094dca848ea8ae19e |
completed | May 17, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 10, 2026, 3:11 a.m.