Triple
T33383012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich (film) |
E854833
|
entity |
| Predicate | originalNetworkOrDistributorRegion |
—
|
GENERATED |
| Object | theatrical |
—
|
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: originalNetworkOrDistributorRegion Context triple: [Munich (film), originalNetworkOrDistributorRegion, theatrical]
-
A.
originalPlatformRegion
Indicates the geographic region or market in which a platform was originally launched or made available.
-
B.
distributorCountry
Indicates the country in which the distributor of an item, product, or work is located or operates.
-
C.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
D.
hasPrimaryGameRegion
Indicates that an entity is associated with a main or principal geographic region in which a game is released, played, or targeted.
-
E.
networkRegion
Indicates that an entity belongs to, operates within, or is associated with a specific network-defined geographic or logical region.
- F. None of above. chosen
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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.