Triple
T28732256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline County Sheriff’s Office |
E730691
|
entity |
| Predicate | mayCooperateWith |
P66836
|
FINISHED |
| Object | state police |
—
|
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 police | Statement: [Caroline County Sheriff’s Office, mayCooperateWith, state police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayCooperateWith Context triple: [Caroline County Sheriff’s Office, mayCooperateWith, state police]
-
A.
mayCoordinate
chosen
Indicates that one entity is permitted or has the option to coordinate or work jointly with another entity.
-
B.
mayEngageIn
Indicates that one entity is permitted or authorized to participate in or perform a particular activity or interaction with another entity.
-
C.
definesCooperationWith
Indicates that one entity formally specifies or establishes the terms, scope, or nature of cooperative interaction with another entity.
-
D.
cooperateThrough
Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
-
E.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:59 a.m.