Triple
T29269846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchenbuchsee railway station |
E742079
|
entity |
| Predicate | fareSystemCountry |
P166787
|
FINISHED |
| Object | Switzerland |
—
|
NE NERFINISHED |
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: Switzerland | Statement: [Münchenbuchsee railway station, fareSystemCountry, Switzerland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareSystemCountry Context triple: [Münchenbuchsee railway station, fareSystemCountry, Switzerland]
-
A.
viaCountry
Indicates that something passes through, transits, or is routed by way of a specified country.
-
B.
foreignServiceCountry
Indicates that an entity is associated with or operates in a particular foreign country within the context of diplomatic or international service.
-
C.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
-
D.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
-
E.
associatedCountryAtTheTime
Indicates the country with which an entity was linked or affiliated during a specific historical time or event, rather than its current or permanent country association.
- F. None of above. chosen
Provenance (4 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664e25f44819088116c6cfb3d26fb |
completed | May 2, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:47 p.m.