Triple
T28961668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tortura (Shaketon Remix) |
E731914
|
entity |
| Predicate | additionalTrackOn |
P166065
|
FINISHED |
| Object | Fijación Oral, Vol. 1 |
—
|
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: Fijación Oral, Vol. 1 | Statement: [La Tortura (Shaketon Remix), additionalTrackOn, Fijación Oral, Vol. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalTrackOn Context triple: [La Tortura (Shaketon Remix), additionalTrackOn, Fijación Oral, Vol. 1]
-
A.
isNewTrackOn
Indicates that a track has just started playing or has recently become the current active track.
-
B.
includesNewTrack
Indicates that one entity contains or adds a new track as part of its contents or composition.
-
C.
trackOn
Indicates that one entity is physically positioned or moving along the surface or path of another, like a vehicle on a track or rails.
-
D.
associatedWithTrack
Indicates a relationship in which an entity is linked or connected to a specific track, such as being part of, derived from, or relevant to that track.
-
E.
musicAddedIn
Indicates that music was incorporated or introduced into something (such as a work, event, or medium) at a particular time or in a particular context.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65c29f1c481909eb3ec0d00366227 |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:50 a.m.