Triple
T10586952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolo Uccello |
E249877
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Pratovecchio
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
|
E872617
|
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: Pratovecchio | Statement: [Paolo Uccello, birthPlace, Pratovecchio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pratovecchio Context triple: [Paolo Uccello, birthPlace, Pratovecchio]
-
A.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
B.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
C.
Collevecchio
Collevecchio is a small historic town in the Lazio region of central Italy, known for its hilltop setting and traditional rural character.
-
D.
Poggiorsini
Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
-
E.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
- 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: Pratovecchio Triple: [Paolo Uccello, birthPlace, Pratovecchio]
Generated description
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pratovecchio Target entity description: Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
-
A.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
B.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
C.
Collevecchio
Collevecchio is a small historic town in the Lazio region of central Italy, known for its hilltop setting and traditional rural character.
-
D.
Poggiorsini
Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
-
E.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94d68f39c8190bc7ea90237a5bf5f |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9522d68b88190a63acb6d657168b4 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.