Triple
T18467419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aosta railway station |
E451200
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aosta |
—
|
NE NERFINISHED |
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: Aosta | Statement: [Aosta railway station, locatedIn, Aosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aosta Context triple: [Aosta railway station, locatedIn, Aosta]
-
A.
Aosta
chosen
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
B.
Piossasco
Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
-
C.
Cherasco
Cherasco is a historic town in Italy’s Piedmont region, known for its medieval architecture, strategic hilltop location, and proximity to renowned wine-producing areas such as Barolo.
-
D.
Chieri
Chieri is a historic town and comune in the Piedmont region of northwestern Italy, known for its medieval architecture and proximity to the city of Turin.
-
E.
Chiavenna
Chiavenna is a historic town in the Lombardy region of northern Italy, known for its alpine setting, medieval architecture, and role as a gateway to important mountain passes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.