Triple
T11643283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kariya, Japan |
E276711
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Anjō, Aichi
Anjō, Aichi is a city in Aichi Prefecture, Japan, known as an industrial and commuter hub within the Chūbu region.
|
E938727
|
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: Anjō, Aichi | Statement: [Kariya, Japan, locatedNear, Anjō, Aichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjō, Aichi Context triple: [Kariya, Japan, locatedNear, Anjō, Aichi]
-
A.
Miyoshi, Aichi
Miyoshi, Aichi is a city in central Japan known as a suburban and industrial area within the Greater Nagoya metropolitan region.
-
B.
Tōkai, Aichi
Tōkai, Aichi is a city in central Japan known for its industrial base and proximity to the Nagoya metropolitan area.
-
C.
Tokoname, Aichi Prefecture
Tokoname, Aichi Prefecture is a coastal Japanese city on the Chita Peninsula known for its historic ceramics industry and proximity to Chubu Centrair International Airport.
-
D.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
-
E.
Maibara
Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
- 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: Anjō, Aichi Triple: [Kariya, Japan, locatedNear, Anjō, Aichi]
Generated description
Anjō, Aichi is a city in Aichi Prefecture, Japan, known as an industrial and commuter hub within the Chūbu region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anjō, Aichi Target entity description: Anjō, Aichi is a city in Aichi Prefecture, Japan, known as an industrial and commuter hub within the Chūbu region.
-
A.
Miyoshi, Aichi
Miyoshi, Aichi is a city in central Japan known as a suburban and industrial area within the Greater Nagoya metropolitan region.
-
B.
Tōkai, Aichi
Tōkai, Aichi is a city in central Japan known for its industrial base and proximity to the Nagoya metropolitan area.
-
C.
Tokoname, Aichi Prefecture
Tokoname, Aichi Prefecture is a coastal Japanese city on the Chita Peninsula known for its historic ceramics industry and proximity to Chubu Centrair International Airport.
-
D.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
-
E.
Maibara
Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cb4ca88190a9322f08416d3974 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87ecbcac8190bb71a248d3601f8d |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.