Triple
T10397641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute A36 |
E245061
|
entity |
| Predicate | hasEuropeanRouteNumber |
P65888
|
FINISHED |
| Object | E60 |
—
|
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: E60 | Statement: [Autoroute A36, hasEuropeanRouteNumber, E60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEuropeanRouteNumber Context triple: [Autoroute A36, hasEuropeanRouteNumber, E60]
-
A.
hasEuropeanRoute
chosen
Indicates that a road or segment is designated as part of a specific European route within the trans-European road network.
-
B.
isNumberedHighway
Indicates that a roadway is officially designated and signed as a numbered highway within a road network.
-
C.
motorwayServedBy
Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
-
D.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
E.
roadNetworkCountryCode
Indicates the country code associated with the road network in which the related entity or segment is located.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d0de448190b0bfd4d6c87d47fa |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:07 p.m.