Triple
T10225473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stealing Beauty |
E243192
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Tuscany |
E34826
|
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: Tuscany | Statement: [Stealing Beauty, settingLocation, Tuscany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuscany Context triple: [Stealing Beauty, settingLocation, Tuscany]
-
A.
Tuscany
chosen
Tuscany is a central Italian region renowned for its rolling landscapes, historic cities like Florence and Siena, and its pivotal role in art, culture, and the birth of the Renaissance.
-
B.
Umbria
Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
-
C.
Valsesia
Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
-
D.
Il Lombardia
Il Lombardia is one of professional road cycling’s five prestigious Monuments, a historic one-day classic held in Italy and renowned for its hilly, scenic route and late-season timing.
-
E.
Liguria
Liguria is a coastal region in northwestern Italy known for its picturesque Riviera, including the Cinque Terre and the city of Genoa.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:17 a.m.