Triple
T20444316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibiza Sound Studios |
E501475
|
entity |
| Predicate | possibleGenreFocus |
P82410
|
FINISHED |
| Object | electronic music |
—
|
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: electronic music | Statement: [Ibiza Sound Studios, possibleGenreFocus, electronic music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleGenreFocus Context triple: [Ibiza Sound Studios, possibleGenreFocus, electronic music]
-
A.
targetGenre
chosen
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
B.
commonGenre
Indicates that two entities share at least one genre in common.
-
C.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
D.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
E.
favoriteGenre
Indicates that one entity’s preferred or most liked genre, among several possible genres, is the other entity.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfca4788190ad57ecb504f54d11 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.