Triple
T9647405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A6 motorway |
E233238
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A6 |
E708396
|
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: A6 | Statement: [A6 motorway, roadNumber, A6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A6 Context triple: [A6 motorway, roadNumber, A6]
-
A.
A6
chosen
A6 is a major road in England that runs from Luton in the south to Carlisle in the north, passing through several key towns and cities including parts of Greater Manchester.
-
B.
A6
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
-
C.
A6
A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
-
D.
A66
A66 is a major trans-Pennine road in northern England that connects the Lake District with the North East, serving as an important east–west transport route.
-
E.
A5
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b826ff08190a972bdef84405f08 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1825dc8e08190bfc3475cd2e694ba |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:13 p.m.