Triple
T2725289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PROTECT Act |
E60175
|
entity |
| Predicate | targetOffenderType |
P41888
|
FINISHED |
| Object | child sex 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: child sex offenders | Statement: [PROTECT Act, targetOffenderType, child sex offenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOffenderType Context triple: [PROTECT Act, targetOffenderType, child sex offenders]
-
A.
subjectOfProsecution
Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
-
B.
hasPerpetratorOccupation
Indicates that the occupation or job role of the perpetrator involved in an act or incident is being specified.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
E.
personnelType
Indicates the classification or role category assigned to a person within an organization or system.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacd7e24819084a620063e3f7aa4 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.