Triple
T9834448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Health Interview and Examination Survey for Children and Adolescents (KiGGS) |
E239064
|
entity |
| Predicate | sampleSizeFirstWave |
P55466
|
FINISHED |
| Object | approximately 17,000 participants |
—
|
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: approximately 17,000 participants | Statement: [German Health Interview and Examination Survey for Children and Adolescents (KiGGS), sampleSizeFirstWave, approximately 17,000 participants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleSizeFirstWave Context triple: [German Health Interview and Examination Survey for Children and Adolescents (KiGGS), sampleSizeFirstWave, approximately 17,000 participants]
-
A.
sampleSize
chosen
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
-
B.
hasTypicalFirstCohortSize
Indicates the usual or standard number of individuals in the first cohort associated with an entity.
-
C.
ensembleSize
Indicates the number of individual members or participants that make up a given group or ensemble.
-
D.
petitionSize
Indicates the number of signatures or participants associated with a given petition.
-
E.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3385054819094145c96204e3f0d |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.