Triple
T31976351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 澜沧江 |
E816457
|
entity |
| Predicate | 经济意义 |
P12253
|
FINISHED |
| Object | 支撑流域国家农业与渔业生产 |
—
|
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: 支撑流域国家农业与渔业生产 | Statement: [澜沧江, 经济意义, 支撑流域国家农业与渔业生产]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 经济意义 Context triple: [澜沧江, 经济意义, 支撑流域国家农业与渔业生产]
-
A.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
B.
hasEconomicImplication
Indicates that one entity’s state, action, or relationship has a direct or indirect impact on the economic conditions, costs, or financial outcomes of another entity or system.
-
C.
economicFunction
chosen
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
-
D.
impactOnEconomy
Indicates the effect or influence that one factor, event, or action has on the state or performance of an economy.
-
E.
economicRationale
Indicates the underlying economic reasoning or justification that explains why a particular decision, action, or relationship is expected to be financially or resource-efficient.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b344b24881908bf1da55fd9b3a97 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:11 a.m.