Triple
T9171818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Lucca |
E220097
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Camporgiano
Camporgiano is a small municipality in Tuscany, central Italy, known for its medieval castle and scenic location in the Serchio Valley.
|
E785775
|
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: Camporgiano | Statement: [Province of Lucca, contains, Camporgiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camporgiano Context triple: [Province of Lucca, contains, Camporgiano]
-
A.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
-
B.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
C.
Gricigliano
Gricigliano is a small locality in Tuscany, Italy, known for housing the main seminary and headquarters of the traditional Catholic Institute of Christ the King Sovereign Priest.
-
D.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
E.
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.
- 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: Camporgiano Triple: [Province of Lucca, contains, Camporgiano]
Generated description
Camporgiano is a small municipality in Tuscany, central Italy, known for its medieval castle and scenic location in the Serchio Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camporgiano Target entity description: Camporgiano is a small municipality in Tuscany, central Italy, known for its medieval castle and scenic location in the Serchio Valley.
-
A.
Camporosso
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
-
B.
Alpignano
Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
-
C.
Gricigliano
Gricigliano is a small locality in Tuscany, Italy, known for housing the main seminary and headquarters of the traditional Catholic Institute of Christ the King Sovereign Priest.
-
D.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
E.
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.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:22 p.m.