Triple
T18045971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val di Chiana |
E431773
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Sinalunga |
—
|
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: Sinalunga | Statement: [Val di Chiana, majorTown, Sinalunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinalunga Context triple: [Val di Chiana, majorTown, Sinalunga]
-
A.
Sinalunga
chosen
Sinalunga is a historic town in Tuscany, central Italy, known for its medieval architecture and scenic location within the rolling hills of the Val di Chiana.
-
B.
Calenzana
Calenzana is a village in the Haute-Corse department of Corsica, France, known as a gateway to the island’s mountainous interior and a starting point for hiking and outdoor tourism.
-
C.
Casciana Terme Lari
Casciana Terme Lari is a municipality in Tuscany, central Italy, known for its historic hilltop village of Lari and the thermal spa resort of Casciana Terme.
-
D.
Montevarchi
Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff202088190ae971879348e2294 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.