Triple
T11372766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autostrada A10 |
E269382
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A10 |
E921959
|
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: A10 | Statement: [Autostrada A10, roadNumber, A10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A10 Context triple: [Autostrada A10, roadNumber, A10]
-
A.
A10
A10 is a major Austrian motorway forming part of the Tauern Autobahn, an important north–south transit route through the Alps.
-
B.
A10
A10 is the route designation for a major German autobahn that forms the orbital Berliner Ring encircling the city of Berlin.
-
C.
A10
A10 is a designation commonly used for major motorways or expressways in various countries’ highway systems.
-
D.
A10
chosen
A10 is a major Italian motorway, also known as the Autostrada dei Fiori, connecting Genoa to the French border along the Ligurian coast.
-
E.
A10
The A10 is a major road in England that runs from London northwards through Hertfordshire and Cambridgeshire, forming a key route between the capital and East Anglia.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8d244c8190b865260338edb532 |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bdaabd48190ab533c1c7f3b5fd8 |
completed | April 20, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:33 p.m.