Triple
T208531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal Training and Research Institute |
E4661
|
entity |
| Predicate | traineeType |
P6384
|
FINISHED |
| Object | judicial apprentices |
—
|
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: judicial apprentices | Statement: [Legal Training and Research Institute, traineeType, judicial apprentices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traineeType Context triple: [Legal Training and Research Institute, traineeType, judicial apprentices]
-
A.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
B.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
participantType
chosen
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.