Triple
T38372106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of George Floyd |
E892611
|
entity |
| Predicate | involvedPoliceDepartment |
P197073
|
FINISHED |
| Object | Minneapolis Police Department |
—
|
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: Minneapolis Police Department | Statement: [murder of George Floyd, involvedPoliceDepartment, Minneapolis Police Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedPoliceDepartment Context triple: [murder of George Floyd, involvedPoliceDepartment, Minneapolis Police Department]
-
A.
policeDepartmentType
Indicates the specific organizational category or classification of a police department (e.g., municipal, state, federal).
-
B.
lawEnforcementInvolved
Indicates that law enforcement authorities are actively involved in or responding to the situation or event described.
-
C.
involvesDepartment
chosen
Indicates that a particular situation, process, or entity includes or engages a specific department as a participant or responsible party.
-
D.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
E.
involvedOfficer
Indicates that an officer participated in, was connected to, or played a role in a particular incident, case, or event.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 3, 2026, 4:31 p.m.