Triple
T19154583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上川岛 |
E468898
|
entity |
| Predicate | 自然环境特征 |
P52634
|
FINISHED |
| Object | 海岸线曲折 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 海岸线曲折 | Statement: [上川岛, 自然环境特征, 海岸线曲折]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 自然环境特征 Context triple: [上川岛, 自然环境特征, 海岸线曲折]
-
A.
立地特性
Indicates the characteristics or qualities of a location that define its situational conditions or advantages in relation to its surroundings.
-
B.
geographicalNature
chosen
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
C.
isNaturalFeature
Indicates that the subject is a naturally occurring physical feature of the environment, not created or significantly altered by human activity.
-
D.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
- F. None of above.
Provenance (3 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb81bf08190b0352137eb4a5763 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.