Triple
T5063990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Austria |
E114097
|
entity |
| Predicate | shareEconomicSystemType |
P252
|
FINISHED |
| Object | social market economy |
—
|
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: social market economy | Statement: [Germany and Austria, shareEconomicSystemType, social market economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEconomicSystemType Context triple: [Germany and Austria, shareEconomicSystemType, social market economy]
-
A.
economicSystem
chosen
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
-
B.
economicPolicyType
Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
-
C.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
D.
economicCooperation
Indicates a relationship in which entities actively collaborate to enhance mutual economic benefits, such as through trade, investment, or shared financial initiatives.
-
E.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.