Triple
T15288582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo |
E365466
|
entity |
| Predicate | infrastructureUsage |
P6820
|
FINISHED |
| Object | uses Italian high-speed 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: uses Italian high-speed rail network | Statement: [Italo, infrastructureUsage, uses Italian high-speed rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infrastructureUsage Context triple: [Italo, infrastructureUsage, uses Italian high-speed rail network]
-
A.
usesInfrastructure
chosen
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
B.
gridUsage
Indicates how much and in what way an entity consumes or relies on a shared grid-based resource, such as an electrical or data grid.
-
C.
typicalInfrastructure
Indicates that something is part of the standard or commonly expected infrastructure associated with a given context or entity.
-
D.
infrastructureFocusArea
Indicates the specific aspect or domain of infrastructure that an entity, project, or activity is primarily concerned with or directed toward.
-
E.
infrastructureLevel
Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.