Triple
T7830690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greatest Day |
E181357
|
entity |
| Predicate | chartPeakNetherlands |
P26506
|
FINISHED |
| Object | top 10 |
—
|
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: top 10 | Statement: [Greatest Day, chartPeakNetherlands, top 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPeakNetherlands Context triple: [Greatest Day, chartPeakNetherlands, top 10]
-
A.
chartPositionNetherlandsSinglesChart
chosen
Indicates the position that a musical work or release achieved on the Netherlands Singles Chart.
-
B.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
-
C.
chartPeakCountry
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
-
D.
chartPositionBelgiumFlanders
Indicates the position or ranking something holds on the music charts specifically in the Flanders region of Belgium.
-
E.
chartPositionEuropeanHot100
Indicates the position an item reached on the European Hot 100 music 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.