Triple
T1717051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 100-690 |
E37312
|
entity |
| Predicate | expandedMandatoryMinimumsFor |
P5633
|
FINISHED |
| Object | certain drug trafficking offenses |
—
|
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: certain drug trafficking offenses | Statement: [Public Law 100-690, expandedMandatoryMinimumsFor, certain drug trafficking offenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedMandatoryMinimumsFor Context triple: [Public Law 100-690, expandedMandatoryMinimumsFor, certain drug trafficking offenses]
-
A.
isMandatoryInSomeJurisdictions
Indicates that the subject is legally required or compulsory in at least one jurisdiction or legal authority.
-
B.
isMandatoryFor
Indicates that something is required or compulsory for another thing to occur, be valid, or be completed.
-
C.
expandedBy
chosen
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
D.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
E.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.