Triple
T16156150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 motorway |
E392046
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A64 motorway |
—
|
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: A64 motorway | Statement: [A1 motorway, hasJunctionWith, A64 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A64 motorway Context triple: [A1 motorway, hasJunctionWith, A64 motorway]
-
A.
A64 motorway
chosen
The A64 motorway is a key urban toll road segment within the Attiki Odos network serving the Athens metropolitan area in Greece.
-
B.
A64 motorway
The A64 motorway is a major French highway in southwestern France that connects Toulouse to Bayonne, serving as a key route through the Occitanie and Nouvelle-Aquitaine regions.
-
C.
A642 motorway
The A642 motorway is a road in Germany that connects to the A6 and serves as a short link within the regional Autobahn network.
-
D.
A66 motorway
The A66 motorway is a French autoroute in southwestern France that connects the Toulouse region to the foothills of the Pyrenees, improving access toward Andorra and Spain.
-
E.
A624 motorway
The A624 motorway is a short French autoroute in the Occitanie region that serves as a key access route to the western suburbs of Toulouse, including Colomiers.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:01 a.m.