Triple
T19604314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 柏崎市 |
E470563
|
entity |
| Predicate | hasCityTree |
P6742
|
FINISHED |
| Object |
クロマツ
クロマツは、日本各地の海岸防風林などに多く植えられる耐潮性の高い常緑針葉樹のマツの一種です。
|
E1384617
|
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: クロマツ | Statement: [柏崎市, hasCityTree, クロマツ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: クロマツ Context triple: [柏崎市, hasCityTree, クロマツ]
-
A.
Cryptomeria
Cryptomeria is a genus of large, evergreen coniferous trees native to East Asia, best known for the Japanese cedar widely used in timber and ornamental planting.
-
B.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
-
C.
Matsudaira
Matsudaira is a prominent Japanese samurai and aristocratic clan historically associated with the Tokugawa shogunate and various feudal domains.
-
D.
Sciadopitys
Sciadopitys is a unique, ancient conifer genus best known for the Japanese umbrella pine, a slow-growing ornamental tree endemic to Japan.
-
E.
Nyssa
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
- 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: クロマツ Triple: [柏崎市, hasCityTree, クロマツ]
Generated description
クロマツは、日本各地の海岸防風林などに多く植えられる耐潮性の高い常緑針葉樹のマツの一種です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: クロマツ Target entity description: クロマツは、日本各地の海岸防風林などに多く植えられる耐潮性の高い常緑針葉樹のマツの一種です。
-
A.
Cryptomeria
Cryptomeria is a genus of large, evergreen coniferous trees native to East Asia, best known for the Japanese cedar widely used in timber and ornamental planting.
-
B.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
-
C.
Matsudaira
Matsudaira is a prominent Japanese samurai and aristocratic clan historically associated with the Tokugawa shogunate and various feudal domains.
-
D.
Sciadopitys
Sciadopitys is a unique, ancient conifer genus best known for the Japanese umbrella pine, a slow-growing ornamental tree endemic to Japan.
-
E.
Nyssa
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64081af6c8190868b73b07c874cd5 |
completed | April 20, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f1fe3e8819088c2e1b5145e1f92 |
completed | May 15, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a075fcda360819093ef08e89680c3ae |
completed | May 15, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07604b2fe4819090be363844abf2ec |
completed | May 15, 2026, 6:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.