Triple
T2288910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genie in a Bottle |
E51457
|
entity |
| Predicate | chartPositionARIALatinAmerica |
P36204
|
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: [Genie in a Bottle, chartPositionARIALatinAmerica, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartPositionARIALatinAmerica Context triple: [Genie in a Bottle, chartPositionARIALatinAmerica, 1]
-
A.
chartPositionUSCountry
Indicates the position or ranking of something on a music or performance chart specifically within the United States.
-
B.
chartPositionCanada
Indicates the position or ranking of something on a chart specifically within Canada.
-
C.
countryOnAxisSide
Indicates that a country was aligned with or belonged to the Axis side in a particular conflict or war.
-
D.
chartPositionAustralia
Indicates the position or ranking of something on a music or sales chart specifically within Australia.
-
E.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe1ecb7081909c2c66da08a48ab7 |
completed | March 7, 2026, 5:56 a.m. |
Created at: March 4, 2026, 7:48 p.m.