Triple
T20961832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colle di Vespignano |
E516266
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mugello |
—
|
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: Mugello | Statement: [Colle di Vespignano, locatedIn, Mugello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mugello Context triple: [Colle di Vespignano, locatedIn, Mugello]
-
A.
Mugello
chosen
Mugello is a historic rural region in northern Tuscany, Italy, known for its rolling hills, medieval villages, and cultural heritage.
-
B.
Monza Circuit
Monza Circuit is a historic Italian motorsport race track, best known as the high-speed home of the Formula One Italian Grand Prix.
-
C.
Monza
Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
-
D.
Livorno Circuit
Livorno Circuit is a historic Italian motor racing track that has hosted major events including editions of the Italian Grand Prix.
-
E.
Autodromo di Modena
Autodromo di Modena is a historic Italian motor racing circuit near Modena that has hosted various national and international events and served as a key testing venue for local manufacturers like Ferrari and Maserati.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6fd1d48190ad0ec7eb72f84889 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:31 p.m.