Triple
T34015660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Rennes |
E872234
|
entity |
| Predicate | partlyUsesInfrastructure |
P6820
|
FINISHED |
| Object | LGV Atlantique |
—
|
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: LGV Atlantique | Statement: [Paris–Rennes, partlyUsesInfrastructure, LGV Atlantique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyUsesInfrastructure Context triple: [Paris–Rennes, partlyUsesInfrastructure, LGV Atlantique]
-
A.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
B.
usesInfrastructure
chosen
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
C.
haveSharedInfrastructure
Indicates that two or more entities use or depend on the same underlying physical or virtual infrastructure resources.
-
D.
isPartOfInfrastructureType
Indicates that something belongs to, or is categorized under, a specific type of infrastructure.
-
E.
isPublicInfrastructure
Indicates that something is part of publicly accessible, collectively used facilities or systems typically provided or regulated by government for common use.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:51 a.m.