Triple
T9887854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edogawa |
E181380
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Kasai Rinkai Park
Kasai Rinkai Park is a large seaside park in Tokyo known for its aquarium, bird sanctuary, and panoramic views of Tokyo Bay.
|
E837442
|
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: Kasai Rinkai Park | Statement: [Edogawa, hasPark, Kasai Rinkai Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasai Rinkai Park Context triple: [Edogawa, hasPark, Kasai Rinkai Park]
-
A.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Okubo Park
Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
-
D.
Ohori Park
Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
-
E.
Toyohira Park
Toyohira Park is a public green space in Sapporo, Japan, known for its recreational facilities, walking paths, and seasonal scenery enjoyed by local residents and visitors.
- 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: Kasai Rinkai Park Triple: [Edogawa, hasPark, Kasai Rinkai Park]
Generated description
Kasai Rinkai Park is a large seaside park in Tokyo known for its aquarium, bird sanctuary, and panoramic views of Tokyo Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasai Rinkai Park Target entity description: Kasai Rinkai Park is a large seaside park in Tokyo known for its aquarium, bird sanctuary, and panoramic views of Tokyo Bay.
-
A.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Okubo Park
Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
-
D.
Ohori Park
Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
-
E.
Toyohira Park
Toyohira Park is a public green space in Sapporo, Japan, known for its recreational facilities, walking paths, and seasonal scenery enjoyed by local residents and visitors.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4592db881909b134834dde614d8 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281c909f08190b4579dd34b3804af |
completed | April 5, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69d2840bb2e881908a7e7a40229769e0 |
completed | April 5, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2847c9bb881908a6330dfe2c2c1a4 |
completed | April 5, 2026, 3:49 p.m. |
Created at: March 30, 2026, 8:39 p.m.