Triple
T34927017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayeb Benamara |
E1007316
|
entity |
| Predicate | locatedInTheMetropolitanRegionGoverned |
—
|
GENERATED |
| Object | Île-de-France |
—
|
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: locatedInTheMetropolitanRegionGoverned Context triple: [Tayeb Benamara, locatedInTheMetropolitanRegionGoverned, Île-de-France]
-
A.
belongsToMetropolitanRegion
chosen
Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
-
B.
locatedNearMetropolitanArea
Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
-
C.
isMunicipalityInRegion
Indicates that a municipality is located within and administratively belongs to a specific region.
-
D.
isMetropolitanOf
Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
-
E.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.