Triple
T7797485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prato |
E180335
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Pratese
Pratese refers to a person or thing originating from or associated with the city of Prato in Tuscany, Italy.
|
E695460
|
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: Pratese | Statement: [Prato, demonym, Pratese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pratese Context triple: [Prato, demonym, Pratese]
-
A.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
B.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
C.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
D.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
E.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
- 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: Pratese Triple: [Prato, demonym, Pratese]
Generated description
Pratese refers to a person or thing originating from or associated with the city of Prato in Tuscany, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pratese Target entity description: Pratese refers to a person or thing originating from or associated with the city of Prato in Tuscany, Italy.
-
A.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
B.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
C.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
D.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
E.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae982c3b48190a35afe655fb20d55 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb140684ec8190aef5d3cb2e0ea948 |
completed | March 31, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69cb1a1414a08190912945cee30e6bc2 |
completed | March 31, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb3843368881908d7c4d5a81c53a23 |
completed | March 31, 2026, 2:58 a.m. |
Created at: March 30, 2026, 4:32 p.m.