Triple
T22390154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back Home |
E553490
|
entity |
| Predicate | chartPositionEurope |
P147467
|
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: [Back Home, chartPositionEurope, top 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionEurope Context triple: [Back Home, chartPositionEurope, top 10]
-
A.
chartPositionWestGermany
Indicates the position or ranking something achieved on music charts specifically within West Germany.
-
B.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
C.
chartPositionEuropeanHot100
Indicates the position an item reached on the European Hot 100 music chart.
-
D.
chartPositionItaly
Indicates the position or ranking of something on a music or sales chart specifically within Italy.
-
E.
chartPositionSweden
Indicates the position or ranking something holds on a music or sales chart specifically in Sweden.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e73597b51c8190aeff27f4779b82f3 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 8:45 p.m.