Triple
T22218983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A33 motorway (Portugal) |
E549154
|
entity |
| Predicate | designation |
P38
|
FINISHED |
| Object | Autoestrada A33 |
—
|
NE NERFINISHED |
How this triple was built (3 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: Autoestrada A33 | Statement: [A33 motorway (Portugal), designation, Autoestrada A33]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autoestrada A33 Context triple: [A33 motorway (Portugal), designation, Autoestrada A33]
-
A.
Autoestrada A23
Autoestrada A23 is a major Portuguese motorway linking Torres Novas to Guarda, serving as an important interior north–south/east–west transport corridor.
-
B.
Autovía A-31
Autovía A-31 is a major Spanish motorway in southeastern Spain that connects Madrid with Alicante, facilitating traffic through provinces such as Albacete.
-
C.
A-32 motorway
The A-32 motorway is a Spanish highway that connects the city of Albacete with other parts of southeastern Spain, improving regional transport and accessibility.
-
D.
Autovía A-67
Autovía A-67 is a major Spanish motorway in northern Spain that connects inland Castile and León with the Cantabrian coast, facilitating regional transport and commerce.
-
E.
Autovía A-30
Autovía A-30 is a major Spanish motorway in southeastern Spain that connects Albacete with Murcia, facilitating regional and long-distance traffic.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Autoestrada A33 Target entity description: Autoestrada A33 is a Portuguese motorway serving as an important orbital and connector route on the south bank of the Tagus River, linking several key highways around the Lisbon metropolitan area.
-
A.
Autoestrada A23
Autoestrada A23 is a major Portuguese motorway linking Torres Novas to Guarda, serving as an important interior north–south/east–west transport corridor.
-
B.
Autovía A-31
Autovía A-31 is a major Spanish motorway in southeastern Spain that connects Madrid with Alicante, facilitating traffic through provinces such as Albacete.
-
C.
A-32 motorway
The A-32 motorway is a Spanish highway that connects the city of Albacete with other parts of southeastern Spain, improving regional transport and accessibility.
-
D.
Autovía A-67
Autovía A-67 is a major Spanish motorway in northern Spain that connects inland Castile and León with the Cantabrian coast, facilitating regional transport and commerce.
-
E.
Autovía A-30
Autovía A-30 is a major Spanish motorway in southeastern Spain that connects Albacete with Murcia, facilitating regional and long-distance traffic.
- F. None of above. chosen
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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8edd288190a49f10e009122057 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.