Triple
T10141461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Grosseto |
E231592
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Roccalbegna
Roccalbegna is a small medieval hill town and comune in southern Tuscany, Italy, known for its dramatic rocky setting and historic fortifications.
|
E859092
|
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: Roccalbegna | Statement: [Province of Grosseto, contains, Roccalbegna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roccalbegna Context triple: [Province of Grosseto, contains, Roccalbegna]
-
A.
Bignasco
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
-
B.
Montebelluna
Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
-
C.
Blessagno
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
-
D.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
E.
Poggiardo
Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
- 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: Roccalbegna Triple: [Province of Grosseto, contains, Roccalbegna]
Generated description
Roccalbegna is a small medieval hill town and comune in southern Tuscany, Italy, known for its dramatic rocky setting and historic fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roccalbegna Target entity description: Roccalbegna is a small medieval hill town and comune in southern Tuscany, Italy, known for its dramatic rocky setting and historic fortifications.
-
A.
Bignasco
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
-
B.
Montebelluna
Montebelluna is a town in the Veneto region of northern Italy, known for its footwear industry and proximity to the foothills of the Dolomite mountains.
-
C.
Blessagno
Blessagno is a small Italian village located in the mountainous Valle d’Intelvi area of Lombardy, near Lake Como.
-
D.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
E.
Poggiardo
Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7947e14c88190b9e33e3fbdcc16e5 |
completed | April 9, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69d7975191ac8190b32eb6cc1f5c88aa |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798655c7c8190a5da5ef976102285 |
completed | April 9, 2026, 12:15 p.m. |
Created at: March 30, 2026, 9:07 p.m.