Triple
T25651991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Drug Courts |
E643125
|
entity |
| Predicate | typeOfOffenseAddressed |
P180198
|
FINISHED |
| Object | drug-related 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: drug-related offenses | Statement: [Tennessee Drug Courts, typeOfOffenseAddressed, drug-related offenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOffenseAddressed Context triple: [Tennessee Drug Courts, typeOfOffenseAddressed, drug-related offenses]
-
A.
offenceCognizable
Indicates that the offence is of a type for which police may initiate investigation and arrest without requiring prior permission or a warrant from a magistrate.
-
B.
targetOffenderType
Indicates the specific category or type of offender that an action, rule, or condition is directed toward.
-
C.
offenseDescription
Indicates the specific nature or characterization of an offense, typically summarizing what violation or wrongdoing occurred.
-
D.
crimeCharged
Indicates that legal authorities have formally accused an entity of committing a specific crime.
-
E.
offenseAgainst
Indicates that one party has committed a harmful, illegal, or rule-violating act directed against another party or entity.
- F. None of above. chosen
Provenance (4 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 21, 2026, 6:26 p.m.