Triple
T10014919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichi Prefecture |
E199464
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
|
E933000
|
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: Inazawa | Statement: [Aichi Prefecture, containsCity, Inazawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inazawa Context triple: [Aichi Prefecture, containsCity, Inazawa]
-
A.
Higashikawa
Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
-
B.
Isehara
Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
-
C.
Fujieda
Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
-
D.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
E.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
- 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: Inazawa Triple: [Aichi Prefecture, containsCity, Inazawa]
Generated description
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inazawa Target entity description: Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
A.
Higashikawa
Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
-
B.
Isehara
Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
-
C.
Fujieda
Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
-
D.
Aikawa
Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
-
E.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd49b19c8190b429e3533d072648 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6968aec8190a9d1e51ac7e87853 |
completed | April 21, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69e6ec59994c8190b1de0bec84324fa1 |
completed | April 21, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: March 30, 2026, 8:52 p.m.