Triple
T10062953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Siena |
E213031
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sarteano
Sarteano is a historic hill town in Tuscany, central Italy, known for its medieval architecture, Etruscan archaeological sites, and scenic countryside.
|
E839539
|
NE FINISHED |
How this triple was built (4 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: Sarteano | Statement: [Province of Siena, contains, Sarteano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarteano Context triple: [Province of Siena, contains, Sarteano]
-
A.
Gozzano
Gozzano is a small Italian town in the Piedmont region, known as a lakeside community near the southern end of Lake Orta.
-
B.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
-
C.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
D.
Pagnerre
Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
-
E.
Legnani
Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sarteano Triple: [Province of Siena, contains, Sarteano]
Generated description
Sarteano is a historic hill town in Tuscany, central Italy, known for its medieval architecture, Etruscan archaeological sites, and scenic countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarteano Target entity description: Sarteano is a historic hill town in Tuscany, central Italy, known for its medieval architecture, Etruscan archaeological sites, and scenic countryside.
-
A.
Gozzano
Gozzano is a small Italian town in the Piedmont region, known as a lakeside community near the southern end of Lake Orta.
-
B.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
-
C.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
D.
Pagnerre
Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
-
E.
Legnani
Legnani is an Italian surname most notably associated with Pierina Legnani, a celebrated 19th-century prima ballerina assoluta.
- F. None of above. chosen
Provenance (5 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd4e4ac8190a37061b4082caa48 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a7bd56c8190a6c43df26db880f4 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:58 p.m.