Triple
T36261856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Ghetto |
E892110
|
entity |
| Predicate | chartPositionWestGermanySinglesChart |
P93960
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [In the Ghetto, chartPositionWestGermanySinglesChart, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionWestGermanySinglesChart Context triple: [In the Ghetto, chartPositionWestGermanySinglesChart, 1]
-
A.
chartPositionGermanSinglesChart
Indicates the position an item reached on the German singles music chart.
-
B.
chartPositionGermanAlbums
Indicates the position an album achieved on the German music albums chart.
-
C.
chartPositionWestGermany
chosen
Indicates the position or ranking something achieved on music charts specifically within West Germany.
-
D.
EuropeChartPerformance
Indicates how well something ranks or performs on music or sales charts specifically within European markets.
-
E.
chartPositionAustrianSinglesChart
Indicates the position an item reached on the Austrian singles 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:09 p.m.