Triple
T10015585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A64 motorway |
E199484
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | A61 motorway |
E819146
|
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: A61 motorway | Statement: [A64 motorway, hasJunctionWith, A61 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A61 motorway Context triple: [A64 motorway, hasJunctionWith, A61 motorway]
-
A.
A61 motorway
The A61 motorway is a major French autoroute in southern France that connects Toulouse to Narbonne, forming a key link between the Atlantic and Mediterranean coasts.
-
B.
A61 motorway
chosen
The A61 motorway is a major German autobahn running through western Germany, serving as an important north–south route that bypasses the Ruhr area.
-
C.
A62 motorway
The A62 motorway is a major French autoroute in southwestern France that forms part of the route between Bordeaux and Toulouse, facilitating regional and long-distance traffic.
-
D.
A106 motorway
The A106 motorway is a short French autoroute in the southern suburbs of Paris that provides direct road access between Paris and Paris Orly Airport.
-
E.
A16 motorway
The A16 motorway is a major French highway in northern France that connects the Paris region to the Channel coast and Belgium.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
Created at: March 30, 2026, 8:52 p.m.