Triple
T16967913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 津山市 |
E411588
|
entity |
| Predicate | hasTourismResource |
P55845
|
FINISHED |
| Object |
城跡公園
城跡公園は、岡山県津山市にある城跡を整備した歴史的景観と自然が楽しめる公園です。
|
E1243262
|
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: 城跡公園 | Statement: [津山市, hasTourismResource, 城跡公園]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 城跡公園 Context triple: [津山市, hasTourismResource, 城跡公園]
-
A.
Moerenuma Park
Moerenuma Park is a large, sculpture-like public park in Sapporo, Japan, designed by artist Isamu Noguchi and known for its striking geometric landscapes and artful integration of nature and design.
-
B.
Shiroyama Park
Shiroyama Park is a historic hillside park in Kagoshima, Japan, known for its panoramic views of the city and Sakurajima volcano and its role in the Satsuma Rebellion.
-
C.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
D.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
E.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
- 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: 城跡公園 Triple: [津山市, hasTourismResource, 城跡公園]
Generated description
城跡公園は、岡山県津山市にある城跡を整備した歴史的景観と自然が楽しめる公園です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 城跡公園 Target entity description: 城跡公園は、岡山県津山市にある城跡を整備した歴史的景観と自然が楽しめる公園です。
-
A.
Moerenuma Park
Moerenuma Park is a large, sculpture-like public park in Sapporo, Japan, designed by artist Isamu Noguchi and known for its striking geometric landscapes and artful integration of nature and design.
-
B.
Shiroyama Park
Shiroyama Park is a historic hillside park in Kagoshima, Japan, known for its panoramic views of the city and Sakurajima volcano and its role in the Satsuma Rebellion.
-
C.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
D.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
E.
Ougimachi Park
Ougimachi Park is a public urban green space in Osaka known for its recreational facilities, playgrounds, and seasonal events.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46f1d608190befe4dcbda086c03 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d619d0f88190904a8afdd02c6f54 |
completed | May 10, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d67eb2a48190b57e394925181f70 |
completed | May 10, 2026, 7:03 p.m. |
Created at: April 10, 2026, 5:31 a.m.