Triple
T15074541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Crime Victimization Survey |
E379964
|
entity |
| Predicate | samplingDesign |
P117213
|
FINISHED |
| Object | stratified multistage cluster sample |
—
|
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: stratified multistage cluster sample | Statement: [National Crime Victimization Survey, samplingDesign, stratified multistage cluster sample]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingDesign Context triple: [National Crime Victimization Survey, samplingDesign, stratified multistage cluster sample]
-
A.
studyDesign
Indicates the type or structure of the research methodology or experimental setup used in a study.
-
B.
trialDesign
Indicates the specific structure, methodology, and procedural plan according to which a trial or experiment is conducted.
-
C.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
-
D.
usesSamplingOf
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
-
E.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
- F. None of above. chosen
Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:02 a.m.