Triple
T26406243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karawanks Tunnel (road) |
E663840
|
entity |
| Predicate | roadNumberAustria |
P38215
|
FINISHED |
| Object | A11 |
—
|
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: A11 | Statement: [Karawanks Tunnel (road), roadNumberAustria, A11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberAustria Context triple: [Karawanks Tunnel (road), roadNumberAustria, A11]
-
A.
rankByHeightInAustria
Indicates that entities are ordered or compared according to their height specifically within the context of Austria.
-
B.
distanceFromVienna
Indicates the spatial distance between a given entity’s location and the city of Vienna.
-
C.
isNumberedHighway
chosen
Indicates that a roadway is officially designated and signed as a numbered highway within a road network.
-
D.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
E.
resultForAustria
Indicates that a particular outcome, performance, or result is specifically associated with Austria.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f87374819084279ca5c2f3d32f |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:35 p.m.