Triple
T9425343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Wanna Be Your Lover |
E227250
|
entity |
| Predicate | chartPositionBelgiumUltratop50Flanders |
P65482
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [I Wanna Be Your Lover, chartPositionBelgiumUltratop50Flanders, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionBelgiumUltratop50Flanders Context triple: [I Wanna Be Your Lover, chartPositionBelgiumUltratop50Flanders, 2]
-
A.
chartPositionBelgianSinglesChart
Indicates the position an item holds on the Belgian singles music chart.
-
B.
chartPositionBelgiumFlanders
chosen
Indicates the position or ranking something holds on the music charts specifically in the Flanders region of Belgium.
-
C.
chartPositionNetherlandsSinglesChart
Indicates the position that a musical work or release achieved on the Netherlands Singles Chart.
-
D.
chartPositionBelgiumWallonia
Indicates the position or ranking of something on the music charts specifically in the Wallonia region of Belgium.
-
E.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.