Triple
T33339980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynamite |
E853641
|
entity |
| Predicate | peakChartPositionTop10CountriesCount |
P177809
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Dynamite, peakChartPositionTop10CountriesCount, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakChartPositionTop10CountriesCount Context triple: [Dynamite, peakChartPositionTop10CountriesCount, multiple]
-
A.
peakChartPosition
Indicates the highest ranking or position an item has achieved on a specified chart or ranking system.
-
B.
peakedWithinTopTenOn
Indicates that something (such as a work, product, or performance) reached a highest ranking position within the top ten on a specified chart, list, or ranking system.
-
C.
topRankedScoreCountry
Indicates that a country has the highest (top-ranked) score among a set of countries according to a specified scoring metric.
-
D.
continentRanking
Indicates the relative position or rank of an entity compared to others within the same continent.
-
E.
chartPeakCountry
Indicates the country in which a work (such as a song or album) reached its highest position on a music chart.
- F. None of above. chosen
Provenance (4 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:34 a.m.