Triple
T14312527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania attorneys |
E354867
|
entity |
| Predicate | mustComplete |
P90349
|
FINISHED |
| Object | continuing legal education requirements |
—
|
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: continuing legal education requirements | Statement: [Pennsylvania attorneys, mustComplete, continuing legal education requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustComplete Context triple: [Pennsylvania attorneys, mustComplete, continuing legal education requirements]
-
A.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
B.
requiredTo
chosen
Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
-
C.
mustHandle
Indicates that one entity is required or obligated to process, deal with, or take responsibility for another entity or situation.
-
D.
completedBefore
Indicates that one event or action was fully completed prior to the start or completion of another specified event or action.
-
E.
mustGrant
Indicates that one party is obligated to give or allow something (such as a right, permission, or resource) to another party.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.