Triple
T7815419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Microgravity Laboratory 2 |
E180993
|
entity |
| Predicate | numberOfExperiments |
P79164
|
FINISHED |
| Object | over 80 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: over 80 experiments | Statement: [International Microgravity Laboratory 2, numberOfExperiments, over 80 experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExperiments Context triple: [International Microgravity Laboratory 2, numberOfExperiments, over 80 experiments]
-
A.
experimentNumber
Indicates the specific identifying number assigned to an experiment within a set of experiments.
-
B.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
C.
parallelExperiment
Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
-
D.
notableExperiment
Indicates that an entity is recognized for having conducted or been the subject of a particularly important or influential experiment.
-
E.
majorExperiment
Indicates that an entity conducts or is involved in a primary, large-scale, or most significant experiment in a given context.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:39 p.m.