Triple
T17134416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edolo |
E415798
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Cortenedolo
Cortenedolo is a small locality or hamlet that forms part of the municipality of Edolo in northern Italy’s Lombardy region.
|
E1252417
|
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: Cortenedolo | Statement: [Edolo, hasSubdivision, Cortenedolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cortenedolo Context triple: [Edolo, hasSubdivision, Cortenedolo]
-
A.
Tolmezzo
Tolmezzo is a town in northeastern Italy’s Friuli-Venezia Giulia region, known as a local commercial and cultural center in the Carnia area of the Alps.
-
B.
Pegognaga
Pegognaga is a small Italian municipality in the Lombardy region, known for its agricultural landscape and traditional rural character.
-
C.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
-
D.
Albignasego
Albignasego is a municipality in the Veneto region of northern Italy, situated just south of the city of Padua.
-
E.
Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
- 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: Cortenedolo Triple: [Edolo, hasSubdivision, Cortenedolo]
Generated description
Cortenedolo is a small locality or hamlet that forms part of the municipality of Edolo in northern Italy’s Lombardy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cortenedolo Target entity description: Cortenedolo is a small locality or hamlet that forms part of the municipality of Edolo in northern Italy’s Lombardy region.
-
A.
Tolmezzo
Tolmezzo is a town in northeastern Italy’s Friuli-Venezia Giulia region, known as a local commercial and cultural center in the Carnia area of the Alps.
-
B.
Pegognaga
Pegognaga is a small Italian municipality in the Lombardy region, known for its agricultural landscape and traditional rural character.
-
C.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
-
D.
Albignasego
Albignasego is a municipality in the Veneto region of northern Italy, situated just south of the city of Padua.
-
E.
Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02cbb7881908aa69c3443d149d5 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014150d63081908a5614f85694e57a |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a0141e96e4481908bfdf7a1eb4ac979 |
completed | May 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01428ca86881909b18bcfc1c223f22 |
completed | May 11, 2026, 2:44 a.m. |
Created at: April 10, 2026, 5:36 a.m.