Triple
T11372745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autostrada A10 |
E269382
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Albenga |
E605606
|
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: Albenga | Statement: [Autostrada A10, connectsCity, Albenga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albenga Context triple: [Autostrada A10, connectsCity, Albenga]
-
A.
Albenga
chosen
Albenga is a historic coastal town in the Liguria region of northwestern Italy, known for its well-preserved medieval center and Roman archaeological remains.
-
B.
Menaggio
Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
-
C.
Bignasco
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
-
D.
Bevagna
Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
-
E.
Bordighera
Bordighera is a coastal town on the Italian Riviera in Liguria, known for its mild climate, palm-lined seafront, and historic appeal as a 19th-century resort.
- 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_69e603d2320c81909ed6946c7b7dfb36 |
completed | April 20, 2026, 10:45 a.m. |
Created at: April 8, 2026, 9:33 p.m.