Triple
T28750886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svaliava |
E731522
|
entity |
| Predicate | roadConnectionViaHighway |
P12245
|
FINISHED |
| Object | M06 highway |
—
|
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: M06 highway | Statement: [Svaliava, roadConnectionViaHighway, M06 highway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadConnectionViaHighway Context triple: [Svaliava, roadConnectionViaHighway, M06 highway]
-
A.
connectsToHighway
chosen
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
B.
motorwayConnectionWith
Indicates that two locations are directly connected by a motorway, allowing vehicular travel between them via that road.
-
C.
roadConnectionRegion
Indicates that a road provides a direct transportation connection between two regions.
-
D.
nationalHighwayConnectivity
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
-
E.
roadConnectivityStatus
Indicates the current state of whether and how well two locations are connected by a road network.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657bd25b88190bdded04512eddaef |
completed | May 2, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:07 a.m.