Triple
T19289927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albino |
E482412
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Casale
Casale is a locality or district that forms part of the municipality of Albino in northern Italy.
|
E1367201
|
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: Casale | Statement: [Albino, hasSubdivision, Casale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casale Context triple: [Albino, hasSubdivision, Casale]
-
A.
Caselle Landi
Caselle Landi is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
-
B.
Castelleone
Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
-
C.
Calasca-Castiglione
Calasca-Castiglione is a small municipality in the Piedmont region of northern Italy, located in the mountainous Ossola area of the Province of Verbano-Cusio-Ossola.
-
D.
Cascina
Cascina is a historic Tuscan town in central Italy, located near Pisa and known for its traditional woodworking and furniture-making industries.
-
E.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
- 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: Casale Triple: [Albino, hasSubdivision, Casale]
Generated description
Casale is a locality or district that forms part of the municipality of Albino in northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casale Target entity description: Casale is a locality or district that forms part of the municipality of Albino in northern Italy.
-
A.
Caselle Landi
Caselle Landi is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
-
B.
Castelleone
Castelleone is a historic town and comune in northern Italy’s Lombardy region, known for its medieval architecture and agricultural surroundings.
-
C.
Calasca-Castiglione
Calasca-Castiglione is a small municipality in the Piedmont region of northern Italy, located in the mountainous Ossola area of the Province of Verbano-Cusio-Ossola.
-
D.
Cascina
Cascina is a historic Tuscan town in central Italy, located near Pisa and known for its traditional woodworking and furniture-making industries.
-
E.
Calizzano
Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e84b7888190963da07ec7624402 |
completed | May 15, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a070ee343008190a1be4338889ae540 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070f5c89348190925244dd0460bcdc |
completed | May 15, 2026, 12:19 p.m. |
Created at: April 10, 2026, 1:30 p.m.