Triple
T10297409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västmanland County |
E241527
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object |
Sala
Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
|
E856062
|
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: Sala | Statement: [Västmanland County, hasUrbanArea, Sala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sala Context triple: [Västmanland County, hasUrbanArea, Sala]
-
A.
SALA
SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
-
B.
Salão
Salão is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and Atlantic coastal setting.
-
C.
Sala Comacina
Sala Comacina is a small lakeside village and comune on the shores of Lake Como in northern Italy, known for its scenic setting opposite Isola Comacina.
-
D.
Sala Petrassi
Sala Petrassi is a modern concert and performance hall in Rome, Italy, known for hosting a wide range of contemporary music, theater, and cultural events.
-
E.
Kamberi
Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
- 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: Sala Triple: [Västmanland County, hasUrbanArea, Sala]
Generated description
Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sala Target entity description: Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
-
A.
SALA
SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
-
B.
Salão
Salão is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and Atlantic coastal setting.
-
C.
Sala Comacina
Sala Comacina is a small lakeside village and comune on the shores of Lake Como in northern Italy, known for its scenic setting opposite Isola Comacina.
-
D.
Sala Petrassi
Sala Petrassi is a modern concert and performance hall in Rome, Italy, known for hosting a wide range of contemporary music, theater, and cultural events.
-
E.
Kamberi
Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d2cc9c48190bc36f6a4f8144b7f |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73182d7548190ac15093aa7001db7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7336c06308190ac72154134a26842 |
completed | April 9, 2026, 5:04 a.m. |
Created at: April 6, 2026, 11:43 a.m.