Triple
T29042377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世纪公园 |
E738031
|
entity |
| Predicate | 环境特征 |
P155015
|
FINISHED |
| Object | 绿化覆盖率高 |
—
|
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: 绿化覆盖率高 | Statement: [世纪公园, 环境特征, 绿化覆盖率高]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 环境特征 Context triple: [世纪公园, 环境特征, 绿化覆盖率高]
-
A.
流域特点
Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
-
B.
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.
-
C.
校园环境特点
Indicates the characteristic features or qualities that define the environment of a campus.
-
D.
立地特性
Indicates the characteristics or qualities of a location that define its situational conditions or advantages in relation to its surroundings.
-
E.
environmentalFeatureOf
chosen
Indicates a relationship where one entity is a natural or environmental characteristic, component, or attribute of another entity or place.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6605efc08819099d1dbb5a85bba32 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:02 a.m.