Triple
T16120827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōi |
E391132
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Kaisei
Kaisei is a small town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger urban centers.
|
E1196614
|
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: Kaisei | Statement: [Ōi, neighboringMunicipality, Kaisei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaisei Context triple: [Ōi, neighboringMunicipality, Kaisei]
-
A.
Kaiseijo
Kaiseijo was a key early Meiji-era educational institution in Japan that helped modernize the country’s higher learning and laid the groundwork for the University of Tokyo.
-
B.
Gaifū Kaisei
Gaifū Kaisei is a famous woodblock print by Japanese ukiyo-e artist Katsushika Hokusai, depicting Mount Fuji under a clear morning sky with a red-tinged peak.
-
C.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
D.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
E.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
- 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: Kaisei Triple: [Ōi, neighboringMunicipality, Kaisei]
Generated description
Kaisei is a small town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger urban centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaisei Target entity description: Kaisei is a small town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger urban centers.
-
A.
Kaiseijo
Kaiseijo was a key early Meiji-era educational institution in Japan that helped modernize the country’s higher learning and laid the groundwork for the University of Tokyo.
-
B.
Gaifū Kaisei
Gaifū Kaisei is a famous woodblock print by Japanese ukiyo-e artist Katsushika Hokusai, depicting Mount Fuji under a clear morning sky with a red-tinged peak.
-
C.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
-
D.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
E.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20200acac8190a47e6a917ff8dd34 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a61e448190be1f8c79cae6c7ee |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b25ba081909c396431ace865ac |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff4a2964c8190bfa8c2fa0f934abe |
completed | May 10, 2026, 2:59 a.m. |
Created at: April 10, 2026, 5 a.m.