Triple
T36350422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Cycle |
E895185
|
entity |
| Predicate | educationStageNumber |
P73150
|
FINISHED |
| Object | first stage of post-primary education in Ireland |
—
|
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: first stage of post-primary education in Ireland | Statement: [Junior Cycle, educationStageNumber, first stage of post-primary education in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationStageNumber Context triple: [Junior Cycle, educationStageNumber, first stage of post-primary education in Ireland]
-
A.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
B.
schoolPhase
chosen
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
-
C.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
D.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
E.
admissionsStage
Indicates the specific phase or step an entity is currently in within an admissions or application process.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.