Triple
T17163403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakai, Osaka |
E416540
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ohama Park
Ohama Park is a public green space and recreational park located in Sakai, Osaka, Japan.
|
E1253592
|
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: Ohama Park | Statement: [Sakai, Osaka, contains, Ohama Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohama Park Context triple: [Sakai, Osaka, contains, Ohama Park]
-
A.
Gosho Park
Gosho Park is a small private wildlife and nature reserve near Marondera in Zimbabwe, known for its granite outcrops, miombo woodland, and populations of antelope and other native fauna.
-
B.
Aokicho Park
Aokicho Park is a local public park in Kawaguchi, Japan, offering green space and recreational facilities for neighborhood residents.
-
C.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
-
D.
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.
-
E.
Utsubo Park
Utsubo Park is a large urban green space in central Osaka known for its rose garden, tennis courts, and role as a popular recreational and event spot.
- 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: Ohama Park Triple: [Sakai, Osaka, contains, Ohama Park]
Generated description
Ohama Park is a public green space and recreational park located in Sakai, Osaka, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ohama Park Target entity description: Ohama Park is a public green space and recreational park located in Sakai, Osaka, Japan.
-
A.
Gosho Park
Gosho Park is a small private wildlife and nature reserve near Marondera in Zimbabwe, known for its granite outcrops, miombo woodland, and populations of antelope and other native fauna.
-
B.
Aokicho Park
Aokicho Park is a local public park in Kawaguchi, Japan, offering green space and recreational facilities for neighborhood residents.
-
C.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
-
D.
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.
-
E.
Utsubo Park
Utsubo Park is a large urban green space in central Osaka known for its rose garden, tennis courts, and role as a popular recreational and event spot.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a01495169d4819093962a3b4a97c47a |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0149be8b888190bab95b612aad590a |
completed | May 11, 2026, 3:15 a.m. |
Created at: April 10, 2026, 5:37 a.m.