Triple
T25447984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route nationale 94 |
E637691
|
entity |
| Predicate | hasRouteNumberValue |
P1864
|
FINISHED |
| Object | 94 |
—
|
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: 94 | Statement: [Route nationale 94, hasRouteNumberValue, 94]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteNumberValue Context triple: [Route nationale 94, hasRouteNumberValue, 94]
-
A.
hasRouteNumberingRole
Indicates that an entity participates in the assignment, management, or designation of route numbers for a transportation route or network.
-
B.
hasRouteNumberingScheme
Indicates that one entity uses or is assigned a particular system or scheme for numbering its routes.
-
C.
isNumberedRouteIn
Indicates that a numbered route (such as a highway or road with an assigned number) is located within or passes through a specified geographic or administrative area.
-
D.
hasRouteIdentifier
Indicates that an entity is associated with a specific route code or identifier used to distinguish it from other routes.
-
E.
routeNumber
chosen
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 2:02 p.m.