Triple
T37816424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cefalù railway station |
E942787
|
entity |
| Predicate | railNetworkSection |
P43954
|
FINISHED |
| Object | northern Sicilian railway corridor |
—
|
NE NERFINISHED |
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: northern Sicilian railway corridor | Statement: [Cefalù railway station, railNetworkSection, northern Sicilian railway corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railNetworkSection Context triple: [Cefalù railway station, railNetworkSection, northern Sicilian railway corridor]
-
A.
railwayLineSection
chosen
Indicates a specific segment or portion of a railway line that connects two points along the rail network.
-
B.
railwaySectionDesignatedAs
Indicates that a specific railway section has been formally assigned or classified under a particular designation or status.
-
C.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
D.
railroadSubdivision
Indicates that one railroad line or territory is a designated subdivision (operational segment) of a larger railroad network.
-
E.
railLinkName
Indicates the specific name assigned to a rail link that connects two or more locations.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.