Triple
T15074540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Crime Victimization Survey |
E379964
|
entity |
| Predicate | samplingFrame |
P110259
|
FINISHED |
| Object | noninstitutionalized population |
—
|
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: noninstitutionalized population | Statement: [National Crime Victimization Survey, samplingFrame, noninstitutionalized population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingFrame Context triple: [National Crime Victimization Survey, samplingFrame, noninstitutionalized population]
-
A.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
B.
samplingSource
chosen
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
C.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
D.
samplingResolution
Indicates the level of detail or granularity at which data is sampled or measurements are taken in a process or system.
-
E.
timeSampling
Indicates that one entity specifies how or at what intervals another entity is sampled or measured over time.
- 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_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. |
Created at: April 10, 2026, 3:02 a.m.