Triple
T10174381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Massa-Carrara |
E235812
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bagnone
Bagnone is a small historic town in northern Tuscany, Italy, known for its medieval architecture and scenic setting in the Lunigiana region.
|
E848299
|
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: Bagnone | Statement: [Province of Massa-Carrara, contains, Bagnone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagnone Context triple: [Province of Massa-Carrara, contains, Bagnone]
-
A.
Bagnacavallo
Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
-
B.
Lesignano
Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
-
C.
Capannori
Capannori is a municipality in Tuscany, central Italy, known for its agricultural landscape, historic villas, and pioneering zero-waste environmental policies.
-
D.
Careggine
Careggine is a small mountain village and comune in Tuscany, central Italy, known for its scenic Apennine setting and traditional rural character.
-
E.
Sarzana
Sarzana is a historic town in the Liguria region of northwestern Italy, known for its medieval fortifications and strategic position near the border with Tuscany.
- 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: Bagnone Triple: [Province of Massa-Carrara, contains, Bagnone]
Generated description
Bagnone is a small historic town in northern Tuscany, Italy, known for its medieval architecture and scenic setting in the Lunigiana region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagnone Target entity description: Bagnone is a small historic town in northern Tuscany, Italy, known for its medieval architecture and scenic setting in the Lunigiana region.
-
A.
Bagnacavallo
Bagnacavallo is a historic town in Italy’s Emilia-Romagna region, known for its well-preserved medieval center and traditional rural culture.
-
B.
Lesignano
Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
-
C.
Capannori
Capannori is a municipality in Tuscany, central Italy, known for its agricultural landscape, historic villas, and pioneering zero-waste environmental policies.
-
D.
Careggine
Careggine is a small mountain village and comune in Tuscany, central Italy, known for its scenic Apennine setting and traditional rural character.
-
E.
Sarzana
Sarzana is a historic town in the Liguria region of northwestern Italy, known for its medieval fortifications and strategic position near the border with Tuscany.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d355075c0c819090854c1408681975 |
completed | April 6, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d356321ca88190baa12d4c25fbf393 |
completed | April 6, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3568953588190bc19f57da2a6b44a |
completed | April 6, 2026, 6:45 a.m. |
Created at: March 30, 2026, 9:11 p.m.