Triple
T30789721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abasto |
E784058
|
entity |
| Predicate | hasMusicGenreAssociation |
P124610
|
FINISHED |
| Object | tango |
—
|
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: tango | Statement: [Abasto, hasMusicGenreAssociation, tango]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicGenreAssociation Context triple: [Abasto, hasMusicGenreAssociation, tango]
-
A.
genreOfAssociatedMusic
Indicates the type or category of music that is associated with a given entity.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
D.
hasGenreRelation
chosen
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
E.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
- 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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 29, 2026, 8:41 p.m.