Triple
T30150984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄浦江 |
E766392
|
entity |
| Predicate | 景观功能 |
P45658
|
FINISHED |
| Object | 上海城市天际线重要组成部分 |
—
|
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: 上海城市天际线重要组成部分 | Statement: [黄浦江, 景观功能, 上海城市天际线重要组成部分]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 景观功能 Context triple: [黄浦江, 景观功能, 上海城市天际线重要组成部分]
-
A.
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.
-
B.
landscapeElement
chosen
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
C.
landscapeImpact
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
D.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
E.
landscapeConcept
Indicates a conceptual or thematic relationship involving landscapes, such as ideas, interpretations, or abstract representations of landscape.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed4297c81909062f19b7795f181 |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.