Triple
T36350334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermediate Certificate (Ireland) |
E895183
|
entity |
| Predicate | mainSubjectsIncluded |
P62594
|
FINISHED |
| Object | Irish language |
—
|
NE NERFINISHED |
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: Irish language | Statement: [Intermediate Certificate (Ireland), mainSubjectsIncluded, Irish language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSubjectsIncluded Context triple: [Intermediate Certificate (Ireland), mainSubjectsIncluded, Irish language]
-
A.
treatmentOfSubjects
Indicates that an entity administers or applies a treatment, intervention, or procedure to specific subjects.
-
B.
curriculumIncluded
chosen
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
C.
mainSubjectPeriod
Indicates the time period during which the subject served as the primary or main focus, role, or activity.
-
D.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
E.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
- 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:09 p.m.