Triple
T9728615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E235677
|
entity |
| Predicate | singleBlueDaBaDeePeakPositionEurochartHot100 |
P13947
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1 | Statement: [Blue, singleBlueDaBaDeePeakPositionEurochartHot100, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleBlueDaBaDeePeakPositionEurochartHot100 Context triple: [Blue, singleBlueDaBaDeePeakPositionEurochartHot100, 1]
-
A.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
-
B.
chartPositionEuropeanHot100
chosen
Indicates the position an item reached on the European Hot 100 music chart.
-
C.
chartPositionGermanSinglesChart
Indicates the position an item reached on the German singles music chart.
-
D.
chartPositionBelgianSinglesChart
Indicates the position an item holds on the Belgian singles music chart.
-
E.
peakPositionUSHot100
Indicates the highest chart position an item reached on the US Billboard Hot 100 singles chart.
- F. None of above.
Provenance (3 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:21 p.m.