Triple
T12592589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | hasHistoricSite |
P1098
|
FINISHED |
| Object |
岡本静嘉堂緑地
岡本静嘉堂緑地は、東京都世田谷区に位置する、自然豊かな緑地と歴史的景観が残る文化的な憩いの場です。
|
E993888
|
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: 岡本静嘉堂緑地 | Statement: [世田谷区, hasHistoricSite, 岡本静嘉堂緑地]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岡本静嘉堂緑地 Context triple: [世田谷区, hasHistoricSite, 岡本静嘉堂緑地]
-
A.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
-
B.
Higashi Ayase Park
Higashi Ayase Park is a public green space in Tokyo’s Adachi ward, known for its sports facilities, playgrounds, and walking paths.
-
C.
Hanazono Central Park
Hanazono Central Park is a major public park in Higashiosaka, Japan, known for its expansive green spaces and recreational facilities.
-
D.
Maruyama Park
Maruyama Park is a popular public park in Sapporo, Japan, known for its cherry blossoms, sports facilities, and proximity to Hokkaido Shrine and Mount Maruyama.
-
E.
Maruyama Park
Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
- 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: 岡本静嘉堂緑地 Triple: [世田谷区, hasHistoricSite, 岡本静嘉堂緑地]
Generated description
岡本静嘉堂緑地は、東京都世田谷区に位置する、自然豊かな緑地と歴史的景観が残る文化的な憩いの場です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 岡本静嘉堂緑地 Target entity description: 岡本静嘉堂緑地は、東京都世田谷区に位置する、自然豊かな緑地と歴史的景観が残る文化的な憩いの場です。
-
A.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
-
B.
Higashi Ayase Park
Higashi Ayase Park is a public green space in Tokyo’s Adachi ward, known for its sports facilities, playgrounds, and walking paths.
-
C.
Hanazono Central Park
Hanazono Central Park is a major public park in Higashiosaka, Japan, known for its expansive green spaces and recreational facilities.
-
D.
Maruyama Park
Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
-
E.
Maruyama Park
Maruyama Park is a popular public park in Sapporo, Japan, known for its cherry blossoms, sports facilities, and proximity to Hokkaido Shrine and Mount Maruyama.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec2dac88190bf31bb00f93feb30 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66308087c81908ab5b5795f255e37 |
completed | May 2, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:07 p.m.