Triple
T8651434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Vicenza |
E205107
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chiampo
Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
|
E775026
|
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: Chiampo | Statement: [Province of Vicenza, contains, Chiampo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiampo Context triple: [Province of Vicenza, contains, Chiampo]
-
A.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
B.
Chivasso
Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
E.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
- 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: Chiampo Triple: [Province of Vicenza, contains, Chiampo]
Generated description
Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiampo Target entity description: Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
-
A.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
B.
Chivasso
Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
-
C.
Cascia
Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
-
D.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
E.
Ariccia
Ariccia is a historic town in the Alban Hills near Rome, known for its Baroque architecture and traditional porchetta.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48150e6c8190a7a3b92b4b640858 |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeae6b0b08190beb13109ba589d81 |
completed | April 3, 2026, 4:29 p.m. |
| NEDg | Description generation | batch_69cfec2bde708190b73c7672625e912d |
completed | April 3, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee809b54819089d4d0d5c555e428 |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 30, 2026, 6:29 p.m.