Triple
T37278722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemins de fer de l'État |
E925319
|
entity |
| Predicate | primaryLines |
—
|
GENERATED |
| Object | Paris–Le Mans–Rennes–Brest line |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLines Context triple: [Chemins de fer de l'État, primaryLines, Paris–Le Mans–Rennes–Brest line]
-
A.
primaryTrunkLine
chosen
Indicates a relationship where one line functions as the main or principal trunk route among a set of connected lines.
-
B.
secondaryLine
Indicates that something serves as a secondary or auxiliary line in relation to a primary or main line.
-
C.
firstLines
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
D.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
- F. None of above.
Provenance (1 batch)
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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.