Triple
T11805867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E280745
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Fukaya
Fukaya is a city in northern Saitama Prefecture, Japan, known historically as a post town and for its agricultural produce, particularly green onions.
|
E1206694
|
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: Fukaya | Statement: [Saitama Prefecture, hasMajorCity, Fukaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fukaya Context triple: [Saitama Prefecture, hasMajorCity, Fukaya]
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
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.
-
C.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
D.
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
E.
Hayama
Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
- 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: Fukaya Triple: [Saitama Prefecture, hasMajorCity, Fukaya]
Generated description
Fukaya is a city in northern Saitama Prefecture, Japan, known historically as a post town and for its agricultural produce, particularly green onions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fukaya Target entity description: Fukaya is a city in northern Saitama Prefecture, Japan, known historically as a post town and for its agricultural produce, particularly green onions.
-
A.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
B.
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.
-
C.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
D.
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
E.
Hayama
Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e6bc748190b8099e7559569a90 |
completed | May 10, 2026, 6:29 a.m. |
| NEDg | Description generation | batch_6a00267f158481908df96371c9826dbb |
completed | May 10, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002750c490819082db2044b6a89eaa |
completed | May 10, 2026, 6:36 a.m. |
Created at: April 8, 2026, 9:42 p.m.