Triple
T16149771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Department of Youth Services |
E391879
|
entity |
| Predicate | typeOfOffenderServed |
P41888
|
FINISHED |
| Object | court-committed juvenile offenders |
—
|
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: court-committed juvenile offenders | Statement: [Alabama Department of Youth Services, typeOfOffenderServed, court-committed juvenile offenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOffenderServed Context triple: [Alabama Department of Youth Services, typeOfOffenderServed, court-committed juvenile offenders]
-
A.
targetOffenderType
chosen
Indicates the specific category or type of offender that an action, rule, or condition is directed toward.
-
B.
isForConvictedOffenders
Indicates that something is intended to apply to, be used by, or be relevant for individuals who have been legally convicted of offenses.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
-
E.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d960c088190a0fe2673f60d106b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.