Triple
T21283557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Beiglböck |
E524592
|
entity |
| Predicate | conductedExperimentType |
P2119
|
FINISHED |
| Object | seawater drinking experiments |
—
|
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: seawater drinking experiments | Statement: [Wilhelm Beiglböck, conductedExperimentType, seawater drinking experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductedExperimentType Context triple: [Wilhelm Beiglböck, conductedExperimentType, seawater drinking experiments]
-
A.
hasTypeOfExperiment
chosen
Indicates that an experiment is associated with or classified under a specific type or category of experiment.
-
B.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
C.
carriedExperiment
Indicates that an entity performed, conducted, or executed a particular experiment.
-
D.
experiment
Indicates that an entity conducts, participates in, or is the subject of a controlled test or trial to observe outcomes or validate hypotheses.
-
E.
parallelExperiment
Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d3dfbc819081bd876d95c7c480 |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:03 p.m.