Triple
T10634200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omiya |
E250535
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Ōmiya Park
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
|
E876434
|
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: Ōmiya Park | Statement: [Omiya, hasLandmark, Ōmiya Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmiya Park Context triple: [Omiya, hasLandmark, Ōmiya Park]
-
A.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
B.
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
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.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
E.
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.
- 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: Ōmiya Park Triple: [Omiya, hasLandmark, Ōmiya Park]
Generated description
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ōmiya Park Target entity description: Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
-
A.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
B.
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
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.
Nakajima Park
Nakajima Park is a large, scenic urban park in central Sapporo known for its ponds, walking paths, cultural facilities, and seasonal beauty.
-
E.
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.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d9701de92881908c0b8f05eae97e35 |
completed | April 10, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 9:03 p.m.