Triple
T5443827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E20 |
E122198
|
entity |
| Predicate | includesFerryConnection |
P1737
|
FINISHED |
| Object | Ireland–United Kingdom segment |
—
|
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: Ireland–United Kingdom segment | Statement: [European route E20, includesFerryConnection, Ireland–United Kingdom segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFerryConnection Context triple: [European route E20, includesFerryConnection, Ireland–United Kingdom segment]
-
A.
hasFerryService
chosen
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
B.
hasFerryType
Indicates that an entity (such as a ferry route or service) is associated with a specific type or category of ferry.
-
C.
hasFerryPort
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
D.
hasNearbyFerryPort
Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
-
E.
linkedByFerryTo
Indicates that one place is connected to another by a ferry route that enables transport between them.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.