Triple
T28960644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pienso en Ti |
E731886
|
entity |
| Predicate | musicGenreOriginRegion |
P31483
|
FINISHED |
| Object | Latin America |
—
|
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: Latin America | Statement: [Pienso en Ti, musicGenreOriginRegion, Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreOriginRegion Context triple: [Pienso en Ti, musicGenreOriginRegion, Latin America]
-
A.
musicGenreRegion
Indicates the association between a music genre and the geographic region where it originates, is most prevalent, or is culturally significant.
-
B.
hasGenreOfOrigin
Indicates that an entity’s original or primary genre classification is the specified genre.
-
C.
hasGenreOrigin
chosen
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
D.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
E.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 8:50 a.m.