Triple
T20368617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulata–Promachonas border crossing |
E496984
|
entity |
| Predicate | roadCheckpointFor |
P139875
|
FINISHED |
| Object | international road traffic |
—
|
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: international road traffic | Statement: [Kulata–Promachonas border crossing, roadCheckpointFor, international road traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadCheckpointFor Context triple: [Kulata–Promachonas border crossing, roadCheckpointFor, international road traffic]
-
A.
roadTraverses
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
-
B.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
C.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
D.
locatedOnRouteTo
Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
-
E.
startsAtRoad
Indicates that something begins or originates at a specific road or roadway location.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678734b188190bb2c5863023f9f8c |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:26 a.m.