Triple
T34436333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Old Piano |
E883964
|
entity |
| Predicate | chartPositionNetherlandsNote |
P15268
|
FINISHED |
| Object | peaked at number 4 on the Dutch Top 40 |
—
|
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: peaked at number 4 on the Dutch Top 40 | Statement: [My Old Piano, chartPositionNetherlandsNote, peaked at number 4 on the Dutch Top 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionNetherlandsNote Context triple: [My Old Piano, chartPositionNetherlandsNote, peaked at number 4 on the Dutch Top 40]
-
A.
chartPositionBelgiumFlanders
Indicates the position or ranking something holds on the music charts specifically in the Flanders region of Belgium.
-
B.
chartPositionDutchAlbums
Indicates the position an album holds on the Dutch music albums chart.
-
C.
chartPositionBelgiumWallonia
Indicates the position or ranking of something on the music charts specifically in the Wallonia region of Belgium.
-
D.
chartPosition
chosen
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
-
E.
chartPositionEurope
Indicates the position or ranking of something on a music or sales chart 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 2 a.m.