Triple
T31258103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koidula railway station |
E797036
|
entity |
| Predicate | hasImmigrationControlFor |
P88439
|
FINISHED |
| Object | passengers to Russia |
—
|
LITERAL FINISHED |
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: passengers to Russia | Statement: [Koidula railway station, hasImmigrationControlFor, passengers to Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmigrationControlFor Context triple: [Koidula railway station, hasImmigrationControlFor, passengers to Russia]
-
A.
hasBorderControlBy
Indicates that the border of one entity is monitored, regulated, or managed by another entity.
-
B.
immigrationControlDestination
chosen
Indicates the destination place or jurisdiction toward which immigration control measures or procedures are directed.
-
C.
hasBorderControlFacility
Indicates that one location possesses an official facility responsible for managing and controlling border crossings to or from another location.
-
D.
hasBorderControlStatus
Indicates the type or condition of border control that applies to a given entity or location.
-
E.
hasBorderControlHistory
Indicates that there is a documented history of actions, policies, or events related to border control involving the associated entities.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 29, 2026, 9:12 p.m.