Triple
T5145458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Perugia |
E116058
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Bevagna
Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
|
E497693
|
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: Bevagna | Statement: [Province of Perugia, containsAdministrativeTerritorialEntity, Bevagna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bevagna Context triple: [Province of Perugia, containsAdministrativeTerritorialEntity, Bevagna]
-
A.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
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.
Varenna
Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
- 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: Bevagna Triple: [Province of Perugia, containsAdministrativeTerritorialEntity, Bevagna]
Generated description
Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bevagna Target entity description: Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
-
A.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
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.
Varenna
Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78ac677881909ce8632f1a8af880 |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becff590ec81908ed03474f21a95f5 |
completed | March 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_69bed254037c8190b1487b12425f8abe |
completed | March 21, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed2be57108190bc3e758c34ffc34f |
completed | March 21, 2026, 5:17 p.m. |
Created at: March 20, 2026, 1:43 p.m.