Triple
T30150963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄浦江 |
E766392
|
entity |
| Predicate | 在上海城市格局中的作用 |
P32249
|
FINISHED |
| Object | 将浦西与浦东分隔开 |
—
|
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: 将浦西与浦东分隔开 | Statement: [黄浦江, 在上海城市格局中的作用, 将浦西与浦东分隔开]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在上海城市格局中的作用 Context triple: [黄浦江, 在上海城市格局中的作用, 将浦西与浦东分隔开]
-
A.
都市景観への影響
Indicates the effect or impact that something has on the appearance, structure, or overall quality of the urban landscape.
-
B.
hasUrbanPlanningImportance
chosen
Indicates that something plays a significant role or has notable relevance in the context of urban planning decisions, policies, or outcomes.
-
C.
partOfUrbanLayout
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
-
D.
integratedIntoUrbanNetwork
Indicates that an entity has been incorporated into and functions as part of a broader urban infrastructure or service network.
-
E.
partOfCityPlan
Indicates that something is included as a component or element within a broader city planning scheme or framework.
- 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.