Triple
T20331414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E20 motorway |
E492490
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | E45 |
—
|
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: E45 | Statement: [E20 motorway, hasJunctionWith, E45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E45 Context triple: [E20 motorway, hasJunctionWith, E45]
-
A.
E45
chosen
E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
-
B.
E42
E42 is a major European route that runs across parts of Western Europe, connecting key cities and motorways in countries such as France, Belgium, Luxembourg, and Germany.
-
C.
E 450
The E 450 is a luxury mid-size Mercedes-Benz E-Class variant known for its refined performance, advanced technology, and upscale comfort features.
-
D.
E44
E44 is a major roadway in Dubai, United Arab Emirates, forming part of the city’s arterial highway network.
-
E.
E54
E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e7baf481909282293d78597634 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.