Triple
T34168237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfort Police Department |
E876473
|
entity |
| Predicate | lawGovernedBy |
P178475
|
FINISHED |
| Object | Illinois state law |
—
|
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: Illinois state law | Statement: [Frankfort Police Department, lawGovernedBy, Illinois state law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawGovernedBy Context triple: [Frankfort Police Department, lawGovernedBy, Illinois state law]
-
A.
governsBodyOfLaw
Indicates that one entity has authoritative control over the creation, interpretation, or enforcement of a particular body of law.
-
B.
governedInPartBy
Indicates that something is subject to the authority, control, or influence of a governing entity, but only to a limited or partial extent rather than fully.
-
C.
legalCodePromulgatedBy
Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
-
D.
governedByAct
Indicates that something is regulated, controlled, or legally defined by a specific act or piece of legislation.
-
E.
lawEstablishedBy
Indicates that a particular law was created, enacted, or formally instituted by a specific authority, body, or individual.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.