Triple
T38001557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menufontaine |
E948115
|
entity |
| Predicate | locatedInEconomicUnion |
—
|
GENERATED |
| Object | Eurozone |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInEconomicUnion Context triple: [Menufontaine, locatedInEconomicUnion, Eurozone]
-
A.
locatedInEurozone
chosen
Indicates that the subject entity is situated within the geographic or economic area of the Eurozone.
-
B.
isInEuropeanUnionCountry
Indicates that the subject entity is located within, or belongs to, a country that is a member of the European Union.
-
C.
eurozoneMember
Indicates that an entity is a country that belongs to the Eurozone, i.e., it uses the euro as its official currency within the European Union’s monetary union.
-
D.
belongsToEURegionType
Indicates that an entity is classified within a specific type or category of European Union region.
-
E.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
- F. None of above.
Provenance (1 batch)
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.