Triple
T32047395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love You |
E818387
|
entity |
| Predicate | hasAlbumReleaseCountry |
P8709
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [I Love You, hasAlbumReleaseCountry, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlbumReleaseCountry Context triple: [I Love You, hasAlbumReleaseCountry, Canada]
-
A.
musicAlbumReleaseRegion
Indicates the region or geographic area in which a music album is officially released or made available.
-
B.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
C.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
D.
hasArtistLegalCountry
Indicates the legal country or jurisdiction under which an artist is officially registered or recognized.
-
E.
hasCountryCoverVersionBy
Indicates that one entity is a country music cover version of another entity (typically an original song or recording).
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 12:20 a.m.