Triple
T17189929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdichiana |
E417201
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Torrita di Siena |
E839540
|
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: Torrita di Siena | Statement: [Valdichiana, containsSettlement, Torrita di Siena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrita di Siena Context triple: [Valdichiana, containsSettlement, Torrita di Siena]
-
A.
Torrita di Siena
chosen
Torrita di Siena is a small historic town and comune in Tuscany, central Italy, known for its medieval architecture and scenic countryside.
-
B.
Calacuccia
Calacuccia is a small mountain village and commune in the Haute-Corse department of Corsica, France, known for its scenic lake and role as a gateway to the island’s central highlands.
-
C.
Botticino
Botticino is an Italian town in the Lombardy region, known for its high-quality marble and traditional stone quarrying.
-
D.
Teglio Veneto
Teglio Veneto is a small municipality in northeastern Italy known for its rural landscape and traditional Venetian cultural influences.
-
E.
Santa Florentina
Santa Florentina is a small settlement in the Chilecito Department of La Rioja Province in northwestern Argentina.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d986b60819085c515101cfe65fe |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd0e1448190a9c0eadc7a8a2f6a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.