Triple
T27890259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dudong area |
E705333
|
entity |
| Predicate | intendedEconomicRole |
P2223
|
FINISHED |
| Object | regional growth engine |
—
|
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: regional growth engine | Statement: [Dudong area, intendedEconomicRole, regional growth engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEconomicRole Context triple: [Dudong area, intendedEconomicRole, regional growth engine]
-
A.
hasEconomicRole
chosen
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
B.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
C.
positionOnGovernmentRoleInEconomy
Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
-
D.
positionOnEconomicSystem
Indicates the stance or viewpoint an entity holds regarding a particular economic system or model.
-
E.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 6:35 p.m.