Triple
T23858825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Down Under |
E592384
|
entity |
| Predicate | countryOfOriginOfSongsCovered |
P149078
|
FINISHED |
| Object | Australia |
—
|
NE NERFINISHED |
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: Australia | Statement: [Go Down Under, countryOfOriginOfSongsCovered, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfSongsCovered Context triple: [Go Down Under, countryOfOriginOfSongsCovered, Australia]
-
A.
countryOfNotableCover
chosen
Indicates that a notable cover version of a work is associated with a particular country, typically where it was produced, released, or became prominent.
-
B.
originCountryOfSong
Indicates the country from which a song originally comes or was first created or released.
-
C.
hasCountryCoverVersionBy
Indicates that one entity is a country music cover version of another entity (typically an original song or recording).
-
D.
countryOfOriginForMusicCareer
Indicates the country where an artist’s professional music career was primarily started or established.
-
E.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98cad34819080baeb8f20f39741 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.