Triple
T16995490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autovía M-50 |
E412302
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Autovía A-6 |
E481286
|
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: Autovía A-6 | Statement: [Autovía M-50, connectsTo, Autovía A-6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autovía A-6 Context triple: [Autovía M-50, connectsTo, Autovía A-6]
-
A.
Autovía A-6
chosen
Autovía A-6 is a major Spanish motorway that forms part of the main road corridor linking Madrid with the northwest of the Iberian Peninsula.
-
B.
Autovía A-62
Autovía A-62 is a major Spanish motorway that forms part of the route between Burgos and the Portuguese border, facilitating international traffic across western Spain.
-
C.
Autovía A-5
Autovía A-5 is a major Spanish motorway that forms part of the route from Madrid toward the Portuguese border, facilitating high-capacity westward traffic from the capital.
-
D.
Autovía A-68
Autovía A-68 is a major Spanish motorway that forms part of the Ebro Valley corridor, linking key cities in northern Spain and facilitating regional and international transport.
-
E.
Autovía A-7
Autovía A-7 is a major Spanish Mediterranean coastal motorway that runs along the southern and eastern coasts, connecting numerous cities and tourist destinations.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d2879af081909665f9f838bcfbe7 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01413a445c8190920fe385d3cd43f3 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:32 a.m.