Triple
T15947210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoba-ku |
E386714
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Aobayama Park
Aobayama Park is a scenic public park in Sendai, Japan, known for its lush greenery, historical sites, and panoramic views over the city.
|
E1192176
|
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: Aobayama Park | Statement: [Aoba-ku, contains, Aobayama Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aobayama Park Context triple: [Aoba-ku, contains, Aobayama Park]
-
A.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Kannonzaki Park
Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
-
D.
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.
-
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: Aobayama Park Triple: [Aoba-ku, contains, Aobayama Park]
Generated description
Aobayama Park is a scenic public park in Sendai, Japan, known for its lush greenery, historical sites, and panoramic views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aobayama Park Target entity description: Aobayama Park is a scenic public park in Sendai, Japan, known for its lush greenery, historical sites, and panoramic views over the city.
-
A.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Kannonzaki Park
Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
-
D.
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.
-
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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d2fda8819085279d2a0f8a02ab |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46d180c81909be66f628d1bdf72 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe5ddbed881908295b4c7a1516708 |
completed | May 10, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6739fbc8190b8dec4f421ef0a76 |
completed | May 10, 2026, 1:59 a.m. |
Created at: April 10, 2026, 4:53 a.m.