Triple
T6506494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A6 motorway (Switzerland) |
E150021
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A6 |
E408537
|
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 (Switzerland), roadNumber, A6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A6 Context triple: [A6 motorway (Switzerland), roadNumber, A6]
-
A.
A6
chosen
A6 is a major Swiss motorway that connects the capital city of Bern with the Thun region and the Bernese Oberland.
-
B.
A6
A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
-
C.
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.
-
D.
A5
A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
-
E.
A5
The A5 is a major road in the United Kingdom that historically follows the route of the Roman Watling Street, linking London with the Midlands and North Wales.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6996818c881909d036f916da0efb5 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb4aa1708190aa58a5c40af56eb2 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.