Triple
T14062613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Superior Services (CSS) examination |
E338381
|
entity |
| Predicate | compulsorySubjectsInclude |
P66416
|
FINISHED |
| Object | English Essay |
—
|
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: English Essay | Statement: [Central Superior Services (CSS) examination, compulsorySubjectsInclude, English Essay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compulsorySubjectsInclude Context triple: [Central Superior Services (CSS) examination, compulsorySubjectsInclude, English Essay]
-
A.
compulsoryEducation
Indicates that an entity is legally required to participate in a specified level or period of formal education.
-
B.
writtenExamSubjectsInclude
chosen
Indicates that the set of subjects specified is included among the subjects covered by a particular written exam.
-
C.
compulsoryEducationPartOf
Indicates that a specified educational stage or component is included within, and constitutes a required part of, a system of compulsory education.
-
D.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
E.
languageOfSubjects
Indicates the language used by or associated with the subjects in question.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.