Triple
T14561560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line F (Strasbourg tram) |
E341677
|
entity |
| Predicate | isRouteOf |
P30511
|
FINISHED |
| Object | Compagnie des Transports Strasbourgeois 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: Compagnie des Transports Strasbourgeois network | Statement: [Line F (Strasbourg tram), isRouteOf, Compagnie des Transports Strasbourgeois network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRouteOf Context triple: [Line F (Strasbourg tram), isRouteOf, Compagnie des Transports Strasbourgeois network]
-
A.
isPartOfRoute
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
B.
isRadialRouteOf
Indicates that one route functions as a radial connection extending outward from a central point, hub, or main route.
-
C.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
D.
isStrategicRouteFor
Indicates a route that is important or advantageous for achieving strategic objectives, such as military, economic, or logistical goals, for a given entity.
-
E.
isPublicTransportRoute
chosen
Indicates that a given route is designated and operated as part of a public transportation system available for general 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.