Triple
T35115017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E402 |
E1013408
|
entity |
| Predicate | followsNationalRoad |
P183693
|
FINISHED |
| Object | A16 motorway (France) |
—
|
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: A16 motorway (France) | Statement: [European route E402, followsNationalRoad, A16 motorway (France)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNationalRoad Context triple: [European route E402, followsNationalRoad, A16 motorway (France)]
-
A.
hasNationalRoad
Indicates that a location is connected to or served by a designated national road within a country's official road network.
-
B.
usesNationalRoad
chosen
Indicates that one entity makes use of a national road as part of its route, operation, or activity.
-
C.
raceRoute
Indicates that one entity serves as the course or path along which a race or competitive event is conducted for another entity.
-
D.
cyclingRoadRaceVenue
Indicates that a location serves as the venue where a cycling road race event takes place.
-
E.
isKeyNationalRouteFor
Indicates that one route serves as a primary or strategically important national connection for another route or 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:01 p.m.