Triple
T15410695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A7 motorway |
E368581
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A47 motorway |
E1256679
|
NE 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: A47 motorway | Statement: [A7 motorway, hasJunctionWith, A47 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A47 motorway Context triple: [A7 motorway, hasJunctionWith, A47 motorway]
-
A.
A47 motorway
chosen
The A47 motorway is a major French highway in the Auvergne-Rhône-Alpes region that links the cities of Lyon and Saint-Étienne.
-
B.
A41 motorway
The A41 motorway is a major French highway in the Alps that connects the cities of Grenoble, Chambéry, and Annecy, serving as a key north–south route through the region.
-
C.
A445 motorway
The A445 motorway is a German autobahn in North Rhine-Westphalia that connects the town of Werl with the wider regional and national highway network.
-
D.
A42 motorway
The A42 motorway is a French autoroute in the Auvergne-Rhône-Alpes region that connects Lyon to the A40 and serves as a key route toward Geneva and eastern France.
-
E.
A45 motorway
The A45 motorway is a major German autobahn in western Germany that connects the Ruhr area with central regions such as Hesse and passes near towns including Dillenburg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a157a5d9481909a67f4d2294cd203 |
completed | May 17, 2026, 7:22 p.m. |
Created at: April 10, 2026, 3:20 a.m.