Triple
T9786306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TurkishLanguageSchools |
E237496
|
entity |
| Predicate | targetProficiencyLevel |
P75415
|
FINISHED |
| Object | basic Turkish communication skills |
—
|
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: basic Turkish communication skills | Statement: [TurkishLanguageSchools, targetProficiencyLevel, basic Turkish communication skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetProficiencyLevel Context triple: [TurkishLanguageSchools, targetProficiencyLevel, basic Turkish communication skills]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
C.
targetCurriculumLevel
chosen
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
-
D.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
E.
achievementLevel
Indicates the degree or extent to which an entity has attained a particular goal, standard, or performance outcome.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.