Triple
T13432925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iburi Subprefecture |
E320156
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Atsuma
Atsuma is a small coastal town in Hokkaido, Japan, known for its rural landscape and proximity to the Pacific Ocean.
|
E1184385
|
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: Atsuma | Statement: [Iburi Subprefecture, hasTown, Atsuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atsuma Context triple: [Iburi Subprefecture, hasTown, Atsuma]
-
A.
Sumirago
Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
D.
Matui
Matui is an alternative spelling of the Japanese surname Matsui, which is borne by various notable individuals in fields such as sports, politics, and entertainment.
-
E.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
- 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: Atsuma Triple: [Iburi Subprefecture, hasTown, Atsuma]
Generated description
Atsuma is a small coastal town in Hokkaido, Japan, known for its rural landscape and proximity to the Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atsuma Target entity description: Atsuma is a small coastal town in Hokkaido, Japan, known for its rural landscape and proximity to the Pacific Ocean.
-
A.
Sumirago
Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
D.
Matui
Matui is an alternative spelling of the Japanese surname Matsui, which is borne by various notable individuals in fields such as sports, politics, and entertainment.
-
E.
Shinjo
Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb58e50bc819086622a33b59cc332 |
completed | May 9, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69ffb60d68e08190b6c85bda66c3e463 |
completed | May 9, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb67ac8948190a44a167033c713f6 |
completed | May 9, 2026, 10:34 p.m. |
Created at: April 9, 2026, 9:40 p.m.