Triple
T13552744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvio Berlusconi |
E323689
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Arcore |
E403245
|
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: Arcore | Statement: [Silvio Berlusconi, residence, Arcore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcore Context triple: [Silvio Berlusconi, residence, Arcore]
-
A.
Arcore
chosen
Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
-
B.
Arcalod
Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
-
C.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
D.
the Arconia
The Arconia is a grand, historic luxury apartment building on Manhattan's Upper West Side that serves as the central setting for the mystery-comedy series "Only Murders in the Building."
-
E.
Arkasa
Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f86f1248190922732247ff56f4d |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:46 p.m.