Triple
T16079602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorway 8 |
E390069
|
entity |
| Predicate | majorRoadConnectionBetween |
P11435
|
FINISHED |
| Object | Athens and the Peloponnese |
—
|
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: Athens and the Peloponnese | Statement: [Motorway 8, majorRoadConnectionBetween, Athens and the Peloponnese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRoadConnectionBetween Context triple: [Motorway 8, majorRoadConnectionBetween, Athens and the Peloponnese]
-
A.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
B.
linkedByRoadTo
chosen
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
C.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
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.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.