Triple
T28507919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSEP |
E721406
|
entity |
| Predicate | belongsToTrack |
P118645
|
FINISHED |
| Object | Offensive Security advanced certifications |
—
|
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: Offensive Security advanced certifications | Statement: [OSEP, belongsToTrack, Offensive Security advanced certifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToTrack Context triple: [OSEP, belongsToTrack, Offensive Security advanced certifications]
-
A.
associatedWithTrack
chosen
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.
-
B.
isLeadTrackOf
Indicates that a track serves as the primary or featured track associated with a particular release, album, or recording project.
-
C.
ownerOfSomeTrack
Indicates that an entity has ownership of at least one track (such as a song, audio track, or similar item).
-
D.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
belongsToAlbum
Indicates that a musical track or piece is part of, or included within, a specific album.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 3:10 a.m.