Triple
T10455749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maizuru |
E246547
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
|
E864348
|
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: Maizuru Park | Statement: [Maizuru, hasLandmark, Maizuru Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maizuru Park Context triple: [Maizuru, hasLandmark, Maizuru Park]
-
A.
Mizumoto Park
Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
-
B.
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.
-
C.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
D.
Minooka Park
Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
-
E.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
- 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: Maizuru Park Triple: [Maizuru, hasLandmark, Maizuru Park]
Generated description
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maizuru Park Target entity description: Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
A.
Mizumoto Park
Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
-
B.
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.
-
C.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
D.
Minooka Park
Minooka Park is a popular county park in Waukesha, Wisconsin, known for its wooded trails, swimming beach, and year-round outdoor recreation.
-
E.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe48d15c8190bae0d4859e6cda5d |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f10b45c81908f1d3128c65750f8 |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c562c081908aae846da8efb1a5 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dd0c28481908008aea09bf956ca |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:18 p.m.