Triple
T1095332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where the Streets Have No Name |
E24257
|
entity |
| Predicate | associatedAlbumType |
P10647
|
FINISHED |
| Object | studio album |
—
|
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: studio album | Statement: [Where the Streets Have No Name, associatedAlbumType, studio album]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAlbumType Context triple: [Where the Streets Have No Name, associatedAlbumType, studio album]
-
A.
associatedMusic
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
-
B.
fromAlbum
Indicates that one entity (typically a song, track, or piece of media) originates from or is included in another entity that is an album.
-
C.
musicBrainzType
chosen
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
D.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
E.
hasPartInDiscography
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.