Triple
T35609108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murten/Morat railway station |
E1028983
|
entity |
| Predicate | locatedInBilingualTown |
—
|
GENERATED |
| Object | Murten (Morat) |
—
|
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: locatedInBilingualTown Context triple: [Murten/Morat railway station, locatedInBilingualTown, Murten (Morat)]
-
A.
isBilingual
Indicates that an entity is able to communicate fluently in two distinct languages.
-
B.
isBilingualRegion
chosen
Indicates that a region officially uses two languages or has two predominant languages in regular use.
-
C.
hasSecondaryLanguageNearby
Indicates that an entity has at least one secondary language present or used in its immediate vicinity or surrounding context.
-
D.
hasNeighboringLanguageCommunity
Indicates that one language community is geographically or socially adjacent to another, allowing for direct contact or interaction between them.
-
E.
spokenInNeighboringRegionsOf
Indicates that a language or speech variety is used in regions that geographically border the primary region associated with another language or entity.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.