Triple
T36196482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago criminal justice system |
E1047140
|
entity |
| Predicate | includesLawEnforcementAgency |
P180299
|
FINISHED |
| Object | Chicago Police Department |
E6127
|
NE 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: Chicago Police Department | Statement: [Chicago criminal justice system, includesLawEnforcementAgency, Chicago Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLawEnforcementAgency Context triple: [Chicago criminal justice system, includesLawEnforcementAgency, Chicago Police Department]
-
A.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
-
B.
supportsLawEnforcementAgency
Indicates that one entity provides assistance, resources, or backing to a law enforcement agency in carrying out its duties or operations.
-
C.
lawEnforcementOrganization
Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
-
D.
isPartOfLawEnforcementSystem
chosen
Indicates that an entity belongs to, operates within, or functionally contributes to a law enforcement system or framework.
-
E.
hasLawEnforcementAgreementWith
Indicates that there is a formal law enforcement cooperation or mutual assistance agreement in place between the two entities.
- F. None of above.
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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a394d2c266c81908c6e721e7902fe5a |
completed | June 22, 2026, 2:56 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.