Triple
T31867144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Operations Division (Orange County Sheriff’s Office) |
E813486
|
entity |
| Predicate | operationComplexity |
P28756
|
FINISHED |
| Object | complex |
—
|
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: complex | Statement: [Special Operations Division (Orange County Sheriff’s Office), operationComplexity, complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationComplexity Context triple: [Special Operations Division (Orange County Sheriff’s Office), operationComplexity, complex]
-
A.
hasComplexity
chosen
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
B.
complexityStatus
Indicates the current level or state of complexity associated with an entity or process.
-
C.
hasReasoningComplexity
Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
-
D.
timeComplexity
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
E.
computationalCost
Indicates the amount of computing resources (such as time, memory, or processing power) required to perform a given operation or process.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: April 30, 2026, 11:54 p.m.