Triple
T17188613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Design for Life |
E417168
|
entity |
| Predicate | chartedIn |
P19348
|
FINISHED |
| Object |
Swedish Singles Chart
The Swedish Singles Chart is Sweden's official ranking of the most popular singles, typically based on sales and streaming data.
|
E1255627
|
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: Swedish Singles Chart | Statement: [A Design for Life, chartedIn, Swedish Singles Chart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swedish Singles Chart Context triple: [A Design for Life, chartedIn, Swedish Singles Chart]
-
A.
German Singles Chart
The German Singles Chart is the official weekly ranking of the most popular singles in Germany, based on sales and streaming data.
-
B.
Dutch Singles Chart
The Dutch Singles Chart is a national music ranking in the Netherlands that lists the most popular singles based on sales, streaming, and airplay.
-
C.
Swiss Singles Chart
The Swiss Singles Chart is Switzerland’s official ranking of the most popular singles, typically based on sales and streaming data.
-
D.
European Hot 100
The European Hot 100 was a pan-European music singles chart that ranked the most popular songs across numerous European countries.
-
E.
Australian Singles Chart
The Australian Singles Chart is a weekly ranking of the most popular singles in Australia, compiled primarily from sales and streaming data.
- 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: Swedish Singles Chart Triple: [A Design for Life, chartedIn, Swedish Singles Chart]
Generated description
The Swedish Singles Chart is Sweden's official ranking of the most popular singles, typically based on sales and streaming data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swedish Singles Chart Target entity description: The Swedish Singles Chart is Sweden's official ranking of the most popular singles, typically based on sales and streaming data.
-
A.
German Singles Chart
The German Singles Chart is the official weekly ranking of the most popular singles in Germany, based on sales and streaming data.
-
B.
Dutch Singles Chart
The Dutch Singles Chart is a national music ranking in the Netherlands that lists the most popular singles based on sales, streaming, and airplay.
-
C.
Swiss Singles Chart
The Swiss Singles Chart is Switzerland’s official ranking of the most popular singles, typically based on sales and streaming data.
-
D.
European Hot 100
The European Hot 100 was a pan-European music singles chart that ranked the most popular songs across numerous European countries.
-
E.
Australian Singles Chart
The Australian Singles Chart is a weekly ranking of the most popular singles in Australia, compiled primarily from sales and streaming data.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d97b9808190aa1900775cd3dfd5 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd0e1448190a9c0eadc7a8a2f6a |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016193089081909d4093b99de4890b |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01622d24d08190b9da770a31edcc5e |
completed | May 11, 2026, 4:59 a.m. |
Created at: April 10, 2026, 5:37 a.m.