Triple
T18998615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannobio |
E464885
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Solivo
Solivo is a locality or subdivision within the Italian municipality of Cannobio, situated on the shores of Lake Maggiore in the Piedmont region.
|
E1353193
|
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: Solivo | Statement: [Cannobio, hasSubdivision, Solivo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solivo Context triple: [Cannobio, hasSubdivision, Solivo]
-
A.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Solvan
Solvan is a river associated with the town of Lons-le-Saunier in the Jura department of eastern France.
-
D.
Sibinal
Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
-
E.
Vigorsol
Vigorsol is a popular European chewing gum brand known for its strong, refreshing flavors and youth-oriented advertising.
- 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: Solivo Triple: [Cannobio, hasSubdivision, Solivo]
Generated description
Solivo is a locality or subdivision within the Italian municipality of Cannobio, situated on the shores of Lake Maggiore in the Piedmont region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solivo Target entity description: Solivo is a locality or subdivision within the Italian municipality of Cannobio, situated on the shores of Lake Maggiore in the Piedmont region.
-
A.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Solvan
Solvan is a river associated with the town of Lons-le-Saunier in the Jura department of eastern France.
-
D.
Sibinal
Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
-
E.
Vigorsol
Vigorsol is a popular European chewing gum brand known for its strong, refreshing flavors and youth-oriented advertising.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b459c36c8190a9d8831fdb7f8b93 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b6491f608190a72d40867f4a2ca3 |
completed | May 14, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b6cd93c88190a5400e86a14771f1 |
completed | May 14, 2026, 11:49 a.m. |
Created at: April 10, 2026, 12:01 p.m.