Triple
T22581352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enzo Ferrari |
E544575
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Maranello, Italy |
—
|
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: Maranello, Italy | Statement: [Enzo Ferrari, residence, Maranello, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maranello, Italy Context triple: [Enzo Ferrari, residence, Maranello, Italy]
-
A.
Maranello, Italy
chosen
Maranello, Italy is a town in the Emilia-Romagna region best known as the home of the Ferrari automobile factory and museum.
-
B.
Monza
Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
-
C.
Imola
Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
-
D.
Fiorano Modenese
Fiorano Modenese is a town and comune in Italy’s Emilia-Romagna region, known for its ceramics industry and proximity to the Ferrari test track at Fiorano.
-
E.
Mugello
Mugello is a historic rural region in northern Tuscany, Italy, known for its rolling hills, medieval villages, and cultural heritage.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff13e288190b5e4b527470be75e |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.