Triple
T17610669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Baccalaureate continuum of education |
E428956
|
entity |
| Predicate | educationLevelCoverage |
P97458
|
FINISHED |
| Object | early childhood |
—
|
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: early childhood | Statement: [International Baccalaureate continuum of education, educationLevelCoverage, early childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationLevelCoverage Context triple: [International Baccalaureate continuum of education, educationLevelCoverage, early childhood]
-
A.
educationLevelsCovered
chosen
Indicates the range or specific levels of education that are included or addressed by something (such as a program, policy, or resource).
-
B.
educationLevelCharacteristic
Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
-
C.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
educationIndicator
Indicates that there is a measure or metric reflecting some aspect of educational status, performance, or outcomes associated with the entities.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.