Triple
T26192504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallorbe railway station |
E655004
|
entity |
| Predicate | servesCountryConnection |
P147667
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Vallorbe railway station, servesCountryConnection, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCountryConnection Context triple: [Vallorbe railway station, servesCountryConnection, France]
-
A.
servesCountryConnections
chosen
Indicates that an entity provides or facilitates service connections between different countries.
-
B.
servesCountryGroup
Indicates that an entity provides service, support, or functions on behalf of a specified group of countries.
-
C.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
D.
destinationCountryServed
Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
-
E.
servesCapitalCityOf
Indicates that one entity functions as the capital city for another entity (typically a country, state, or region).
- F. None of above.
Provenance (3 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 26, 2026, 8:45 p.m.