Triple
T27961745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan–Saronno railway |
E704595
|
entity |
| Predicate | usedByServiceTo |
P175325
|
FINISHED |
| Object | Malpensa Airport |
—
|
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: Malpensa Airport | Statement: [Milan–Saronno railway, usedByServiceTo, Malpensa Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByServiceTo Context triple: [Milan–Saronno railway, usedByServiceTo, Malpensa Airport]
-
A.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
B.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
-
C.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
D.
usedByServer
Indicates that something (such as a resource, component, or configuration) is utilized or relied upon by a server in its operation.
-
E.
usedBySystem
Indicates that something is utilized or operated by a particular system.
- F. None of above. chosen
Provenance (4 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 27, 2026, 7:32 p.m.