Triple
T7974134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emory University School of Law |
E185399
|
entity |
| Predicate | hasDegreeFocus |
P36625
|
FINISHED |
| Object | law and legal studies |
—
|
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: law and legal studies | Statement: [Emory University School of Law, hasDegreeFocus, law and legal studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDegreeFocus Context triple: [Emory University School of Law, hasDegreeFocus, law and legal studies]
-
A.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
B.
hasHigherDegree
Indicates that one entity possesses an academic degree that is of a higher level than the academic degree held by another entity.
-
C.
hasSubjectOfStudy
chosen
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
D.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.