Triple
T16617794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtiberina |
E403738
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | Valtiberina Toscana |
E785224
|
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: Valtiberina Toscana | Statement: [Valtiberina, hasSubregion, Valtiberina Toscana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valtiberina Toscana Context triple: [Valtiberina, hasSubregion, Valtiberina Toscana]
-
A.
Valtiberina Toscana
chosen
Valtiberina Toscana is a historic valley area in eastern Tuscany, Italy, known for its scenic landscapes, medieval towns, and cultural heritage along the upper Tiber River.
-
B.
Lunigiana
Lunigiana is a historical region in northwestern Italy, spanning parts of Tuscany and Liguria, known for its medieval castles, hilltop villages, and rugged Apennine landscapes.
-
C.
Valdelsa
Valdelsa is a historical valley area in Tuscany, Italy, known for its medieval hill towns, agricultural landscapes, and cultural heritage.
-
D.
Val d'Elsa
Val d'Elsa is a scenic area of Tuscany in central Italy, known for its medieval hill towns, vineyards, and rolling countryside.
-
E.
Valdarno
Valdarno is a valley region in Tuscany, Italy, shaped by the Arno River and known for its historic towns and characteristic landscapes.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.