Triple
T24990103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felbertauern Pass |
E625421
|
entity |
| Predicate | openedAsRoadLink |
P152624
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Felbertauern Pass, openedAsRoadLink, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsRoadLink Context triple: [Felbertauern Pass, openedAsRoadLink, 1967]
-
A.
openedRouteBetween
chosen
Indicates that an agent initiated or established a route or connection enabling movement or communication between two locations or entities.
-
B.
openedAsRingRoad
Indicates that a road or route was inaugurated specifically to function as a ring road around an area.
-
C.
openedAsMotorway
Indicates that a road segment was initially opened to traffic specifically as a motorway.
-
D.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
E.
openedAsThroughRoute
Indicates that a route or service began operating as a continuous through connection, rather than as separate or terminating segments.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:03 a.m.