Triple
T29786490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventimiglia railway yard |
E756277
|
entity |
| Predicate | connectsRailNetworksOf |
P109198
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Ventimiglia railway yard, connectsRailNetworksOf, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsRailNetworksOf Context triple: [Ventimiglia railway yard, connectsRailNetworksOf, Italy]
-
A.
connectsToRailwayNetwork
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
B.
servesRailTrafficBetween
Indicates that something (typically a rail line, service, or facility) provides rail transportation connecting two or more locations.
-
C.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
D.
railwayConnectsTo
chosen
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
E.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 29, 2026, 5:09 p.m.