Triple
T33577526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self Control |
E860066
|
entity |
| Predicate | chartPositionAustriaSinglesChart |
P81360
|
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: [Self Control, chartPositionAustriaSinglesChart, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionAustriaSinglesChart Context triple: [Self Control, chartPositionAustriaSinglesChart, 1]
-
A.
chartPositionAustrianSinglesChart
Indicates the position an item reached on the Austrian singles music chart.
-
B.
chartPositionAustria
chosen
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
-
C.
chartPositionGermanSinglesChart
Indicates the position an item reached on the German singles music chart.
-
D.
chartPositionSwissSingles
Indicates the position that a song or single reached on the Swiss singles music chart.
-
E.
rankByHeightInAustria
Indicates that entities are ordered or compared according to their height specifically within the context of Austria.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:40 a.m.