Triple
T37184515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa San Giovanni ferry terminal |
E921286
|
entity |
| Predicate | supportsConnectionWith |
P96581
|
FINISHED |
| Object | rail network |
—
|
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: rail network | Statement: [Villa San Giovanni ferry terminal, supportsConnectionWith, rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsConnectionWith Context triple: [Villa San Giovanni ferry terminal, supportsConnectionWith, rail network]
-
A.
compatibleConnection
Indicates that two entities can be connected or used together without conflict, supporting proper operation or interaction.
-
B.
supportsTerminalConnections
chosen
Indicates that one entity is capable of handling or enabling direct connections to terminal interfaces or endpoints.
-
C.
supportsOperationsWith
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
D.
supportsAssociationWith
Indicates that one entity provides backing, endorsement, or assistance for an association or relationship involving another entity.
-
E.
supportsDatabaseConnectivity
Indicates that an entity provides the capability to establish and maintain connections to a database system.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.