Triple
T21305099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alessandro Antonelli |
E525173
|
entity |
| Predicate | hasWorkIn |
P17879
|
FINISHED |
| Object | Novara |
—
|
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: Novara | Statement: [Alessandro Antonelli, hasWorkIn, Novara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novara Context triple: [Alessandro Antonelli, hasWorkIn, Novara]
-
A.
Novara
chosen
Novara is a city in the Piedmont region of northern Italy, known for its historic center, rice cultivation in the surrounding plains, and role as an important local economic and cultural hub.
-
B.
Biella
Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
-
C.
Voghera
Voghera is a town in the Lombardy region of northern Italy, known historically as a local agricultural and commercial center.
-
D.
Cuneo
Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
-
E.
Treviglio
Treviglio is a historic town in northern Italy’s Lombardy region, known for its medieval center, agricultural traditions, and role as a local commercial and transport hub.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa341908190963c4368708860b8 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.