Triple
T26838962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Diploma of Secondary Education curriculum |
E675716
|
entity |
| Predicate | includesElectiveSubjectCategory |
P137995
|
FINISHED |
| Object | Sciences |
—
|
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: Sciences | Statement: [Hong Kong Diploma of Secondary Education curriculum, includesElectiveSubjectCategory, Sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesElectiveSubjectCategory Context triple: [Hong Kong Diploma of Secondary Education curriculum, includesElectiveSubjectCategory, Sciences]
-
A.
isHighSchoolElective
Indicates that a course or subject is offered as an optional, non-required class within a high school curriculum.
-
B.
hasStudentCategory
Indicates that an entity is classified under a specific category or type of student.
-
C.
includesDisciplineCategory
chosen
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
-
D.
enrollmentCategory
Indicates the classification or type of enrollment under which an entity is registered or participating.
-
E.
writtenExamSubjectsInclude
Indicates that the set of subjects specified is included among the subjects covered by a particular written exam.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 27, 2026, 5:06 a.m.