Triple
T18404000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moores Hill College |
E450070
|
entity |
| Predicate | hadAcademicLevel |
P6978
|
FINISHED |
| Object | undergraduate |
—
|
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: undergraduate | Statement: [Moores Hill College, hadAcademicLevel, undergraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadAcademicLevel Context triple: [Moores Hill College, hadAcademicLevel, undergraduate]
-
A.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
hasHigherEducationHistory
Indicates that an entity has a record of having pursued or completed higher education studies in the past.
-
C.
academicStatus
chosen
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
D.
hasEducationalAchievement
Indicates that an entity has attained a specific level, degree, or form of formal educational accomplishment.
-
E.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5195509cc8190bd4e91adb9b4a0ce |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:46 a.m.