Triple
T10054648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Notice |
E208829
|
entity |
| Predicate | categoryOfPerson |
P53285
|
FINISHED |
| Object | offenders who may pose a risk to public safety |
—
|
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: offenders who may pose a risk to public safety | Statement: [Green Notice, categoryOfPerson, offenders who may pose a risk to public safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfPerson Context triple: [Green Notice, categoryOfPerson, offenders who may pose a risk to public safety]
-
A.
isCategoryOfPeople
chosen
Indicates that a group or classification specifically pertains to people as its members.
-
B.
genreOfOccupation
Indicates the specific genre or category that characterizes a particular occupation or professional role.
-
C.
agingCategory
Indicates the classification of an entity based on its stage or degree of aging.
-
D.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
-
E.
categoryLabel_H
Indicates that an entity is assigned a human-readable category label or classification.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfab39408190ac728fe156eed658 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:57 p.m.