Triple
T7116000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Expenditure Panel Survey |
E165820
|
entity |
| Predicate | unitOfObservation |
P49001
|
FINISHED |
| Object | individual |
—
|
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 | Statement: [Medical Expenditure Panel Survey, unitOfObservation, individual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unitOfObservation Context triple: [Medical Expenditure Panel Survey, unitOfObservation, individual]
-
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.
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.
-
C.
unitOfAnalysis
Indicates the primary entity, level, or component that is being examined or measured in a given analysis or study.
-
D.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
-
E.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.