Triple
T22127579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Grammy Award for Album of the Year |
E546829
|
entity |
| Predicate | minimumTrackCount |
P147095
|
FINISHED |
| Object | at least 51% of total playing time newly recorded material |
—
|
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: at least 51% of total playing time newly recorded material | Statement: [Latin Grammy Award for Album of the Year, minimumTrackCount, at least 51% of total playing time newly recorded material]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumTrackCount Context triple: [Latin Grammy Award for Album of the Year, minimumTrackCount, at least 51% of total playing time newly recorded material]
-
A.
numberOfTracks
Indicates the quantity of tracks associated with a given entity.
-
B.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
C.
nonSingleTrack
Indicates that the subject is associated with more than one track or path, rather than being limited to a single track.
-
D.
hasTwoTracks
Indicates that the subject possesses or is associated with exactly two distinct tracks or pathways.
-
E.
isTrackNumberUnknown
Indicates that the track number associated with an item or entity is not known or has not been specified.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:32 p.m.