Triple
T15074462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice System Improvement Act of 1979 |
E379963
|
entity |
| Predicate | agencyFunction |
P9325
|
FINISHED |
| Object | collection of crime data |
—
|
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: collection of crime data | Statement: [Justice System Improvement Act of 1979, agencyFunction, collection of crime data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agencyFunction Context triple: [Justice System Improvement Act of 1979, agencyFunction, collection of crime data]
-
A.
agency
Indicates that an entity acts on behalf of, represents, or exercises power or control for another entity in performing an action or fulfilling a role.
-
B.
assistant
Indicates that one entity provides help, support, or services to another entity.
-
C.
toolUse
Indicates that an entity uses or employs another entity as a tool to perform an action or achieve a goal.
-
D.
serviceOf
chosen
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
E.
appointedFor
Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.