Triple
T35328240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 小五台山 |
E1020250
|
entity |
| Predicate | 景观特征 |
P9701
|
FINISHED |
| Object | 高山草甸景观 |
—
|
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: 高山草甸景观 | Statement: [小五台山, 景观特征, 高山草甸景观]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 景观特征 Context triple: [小五台山, 景观特征, 高山草甸景观]
-
A.
流域特点
Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
-
B.
流经地区特征
Indicates that a flowing entity (such as a river) passes through and is characterized by certain features or attributes of the regions it traverses.
-
C.
立地特性
Indicates the characteristics or qualities of a location that define its situational conditions or advantages in relation to its surroundings.
-
D.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
生态定位
Indicates the ecological role or niche an organism occupies within its environment, including its functional position and interactions in the ecosystem.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.