Triple
T20731738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa Natale di Leonardo |
E509588
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Anchiano |
—
|
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: Anchiano | Statement: [Casa Natale di Leonardo, locatedIn, Anchiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anchiano Context triple: [Casa Natale di Leonardo, locatedIn, Anchiano]
-
A.
Anchiano
chosen
Anchiano is a small hamlet near Vinci in Tuscany, Italy, best known as the birthplace of Leonardo da Vinci.
-
B.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
-
C.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
D.
Ortezzano
Ortezzano is a small historic town in Italy’s Marche region, known for its scenic hilltop setting amid vineyards and olive groves.
-
E.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ed7e8c8190974f2eb31a0a3106 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:31 p.m.