Triple
T18930416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tram Train Route |
E463092
|
entity |
| Predicate | runsOnInfrastructure |
P6820
|
FINISHED |
| Object | Sheffield Supertram tracks |
—
|
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: Sheffield Supertram tracks | Statement: [Tram Train Route, runsOnInfrastructure, Sheffield Supertram tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsOnInfrastructure Context triple: [Tram Train Route, runsOnInfrastructure, Sheffield Supertram tracks]
-
A.
usesInfrastructure
chosen
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
B.
runsOnHardware
Indicates that a system, software, or process operates using or is executed on a specified hardware platform.
-
C.
requiresInfrastructureManagement
Indicates that one entity depends on another to provide or perform infrastructure management in order for it to function or be fulfilled.
-
D.
runsUnder
Indicates that one process, task, or component operates within the control, environment, or context provided by another system, platform, or framework.
-
E.
parallelInfrastructure
Indicates that two or more infrastructure elements are arranged or operate in parallel to each other, typically serving similar functions simultaneously.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bfaee881908d701c5a05528939 |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.