Triple
T5890542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIBRS |
E130975
|
entity |
| Predicate | dataCollectionUnit |
P49001
|
FINISHED |
| Object | individual criminal incident |
—
|
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: individual criminal incident | Statement: [NIBRS, dataCollectionUnit, individual criminal incident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCollectionUnit Context triple: [NIBRS, dataCollectionUnit, individual criminal incident]
-
A.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
-
B.
managementUnitOf
Indicates that one entity serves as the administrative or managerial unit responsible for overseeing or controlling another entity.
-
C.
statisticalUnitOf
chosen
Indicates that one entity serves as the statistical unit (the basic unit of observation or analysis) for which data or statistics are collected or reported about another entity.
-
D.
dispersalUnit
Indicates the type or form of unit in which something (such as seeds, spores, or organisms) is spread or dispersed from one place to another.
-
E.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.