Triple
T25635700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Board of Law Examiners |
E642691
|
entity |
| Predicate | usesComponentExam |
P9772
|
FINISHED |
| Object | Multistate Bar Examination |
—
|
NE NERFINISHED |
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: Multistate Bar Examination | Statement: [Tennessee Board of Law Examiners, usesComponentExam, Multistate Bar Examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesComponentExam Context triple: [Tennessee Board of Law Examiners, usesComponentExam, Multistate Bar Examination]
-
A.
usedComponent
chosen
Indicates that one entity has employed or incorporated another entity as a component in its structure, function, or operation.
-
B.
workExamined
Indicates that one entity has examined, reviewed, or studied the work produced by another entity.
-
C.
examinesForQualification
Indicates that one entity evaluates another to determine whether it meets certain required qualifications or criteria.
-
D.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
E.
writtenExamSubjectsInclude
Indicates that the set of subjects specified is included among the subjects covered by a particular written exam.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 5:22 p.m.