Triple
T31126700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oneida Nation Reservation in Wisconsin |
E793377
|
entity |
| Predicate | hasLawEnforcementAgreementWith |
P196050
|
FINISHED |
| Object | State of Wisconsin |
—
|
NE NERFINISHED |
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: State of Wisconsin | Statement: [Oneida Nation Reservation in Wisconsin, hasLawEnforcementAgreementWith, State of Wisconsin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLawEnforcementAgreementWith Context triple: [Oneida Nation Reservation in Wisconsin, hasLawEnforcementAgreementWith, State of Wisconsin]
-
A.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
-
B.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
C.
lawEnforcementOrganization
Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
-
D.
associatedWithLawEnforcementAgency
Indicates that an entity has a formal connection, role, or involvement with a law enforcement agency.
-
E.
isPartOfLawEnforcementSystem
Indicates that an entity belongs to, operates within, or functionally contributes to a law enforcement system or framework.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69fe031af3248190816da6829aef7bab |
completed | May 8, 2026, 3:36 p.m. |
Created at: April 29, 2026, 9:05 p.m.