Triple
T461058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juris Doctor |
E7336
|
entity |
| Predicate | typicalAssessmentMethod |
P750
|
FINISHED |
| Object | final examinations |
—
|
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: final examinations | Statement: [Juris Doctor, typicalAssessmentMethod, final examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAssessmentMethod Context triple: [Juris Doctor, typicalAssessmentMethod, final examinations]
-
A.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
languageOfAssessment
Indicates that a specified language is used as the medium of assessment (e.g., for tests, evaluations, or examinations) for a given entity.
-
C.
assessedBy
Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
-
D.
scrutinyMethods
Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
-
E.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.