Triple
T10392942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money, Money, Money |
E244934
|
entity |
| Predicate | chartPositionWestGermany |
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: [Money, Money, Money, chartPositionWestGermany, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionWestGermany Context triple: [Money, Money, Money, chartPositionWestGermany, 1]
-
A.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
B.
chartPositionGermanAlbums
Indicates the position an album achieved on the German music albums chart.
-
C.
chartPositionSwitzerland
Indicates the position or ranking that something holds on a music or sales chart specifically in Switzerland.
-
D.
rankWithinGermanStates
Indicates the relative position or standing of an entity compared to others within the set of German federal states.
-
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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b6c750819087678bf81a3ef806 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:06 p.m.