Triple
T22557954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Italy |
E557735
|
entity |
| Predicate | areLinkedByMotorwayCorridors |
P132153
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Germany and Italy, areLinkedByMotorwayCorridors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areLinkedByMotorwayCorridors Context triple: [Germany and Italy, areLinkedByMotorwayCorridors, true]
-
A.
motorwayServedBy
Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
-
B.
linkedByRoadTo
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
C.
isMotorwayIn
Indicates that a motorway is located within or passes through a specified geographic area or administrative region.
-
D.
isTransportationLinkBetween
chosen
Indicates that there exists a transportation connection (such as a road, rail, air, or sea route) linking the two entities.
-
E.
isKeyRoadLinkBetween
Indicates that a road segment functions as a primary connecting link between two specific locations or road network elements.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.