Triple
T16821994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velsertunnel |
E408915
|
entity |
| Predicate | roadPartOf |
P5397
|
FINISHED |
| Object | A22 motorway |
—
|
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: A22 motorway | Statement: [Velsertunnel, roadPartOf, A22 motorway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadPartOf Context triple: [Velsertunnel, roadPartOf, A22 motorway]
-
A.
roadNetworkPartOf
Indicates that one road network segment or component is a constituent part of a larger road network.
-
B.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
C.
streetSectionOf
chosen
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
-
D.
roadCorridorIncludes
Indicates that a specified road corridor spatially contains or encompasses another element or segment within its defined bounds.
-
E.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.