Triple
T31178219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China’s coastal open economic areas |
E794811
|
entity |
| Predicate | macroRole |
P129493
|
FINISHED |
| Object | engine of coastal economic growth |
—
|
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: engine of coastal economic growth | Statement: [China’s coastal open economic areas, macroRole, engine of coastal economic growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: macroRole Context triple: [China’s coastal open economic areas, macroRole, engine of coastal economic growth]
-
A.
massRole
Indicates that an entity plays a specific role or function within a mass or collective context.
-
B.
canonicalRole
Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
-
C.
roleInMacrocosmica
chosen
Indicates that an entity has a specific role or function within a larger, overarching system or macro-level structure.
-
D.
complexRole
Indicates that an entity holds a multifaceted or composite role involving multiple responsibilities, functions, or relational aspects within a given context.
-
E.
MCURole
Indicates a role or function that an entity holds as a Master of Ceremonies (MC) within an event or context.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.