Triple
T8019504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Observatory |
E186702
|
entity |
| Predicate | schoolLevelDocumented |
P73150
|
FINISHED |
| Object | secondary education |
—
|
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: secondary education | Statement: [The Observatory, schoolLevelDocumented, secondary education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolLevelDocumented Context triple: [The Observatory, schoolLevelDocumented, secondary education]
-
A.
schoolPhase
chosen
Indicates the specific stage or level within an educational system at which the related entity operates or applies.
-
B.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
C.
schoolClassification
Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
-
D.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
E.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:20 p.m.