Triple
T28717693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killeen gang |
E730005
|
entity |
| Predicate | criminalClassification |
P96742
|
FINISHED |
| Object | organized crime group |
—
|
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: organized crime group | Statement: [Killeen gang, criminalClassification, organized crime group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criminalClassification Context triple: [Killeen gang, criminalClassification, organized crime group]
-
A.
criminalType
chosen
Indicates the specific category or classification of crime associated with a criminal act or offender.
-
B.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
-
C.
recognitionOfCrimes
Indicates the formal acknowledgment or identification that certain actions or events constitute crimes under a legal or normative framework.
-
D.
criminalSpecialization
Indicates that an individual focuses their criminal activity on a particular type of offense or crime category.
-
E.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
- 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_69f043e7d5a4819094b18aca10b1e024 |
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, 5:51 a.m.