Triple
T15271393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight Opportunities Program |
E365027
|
entity |
| Predicate | environmentTested |
P853
|
FINISHED |
| Object | microgravity |
—
|
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: microgravity | Statement: [Flight Opportunities Program, environmentTested, microgravity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentTested Context triple: [Flight Opportunities Program, environmentTested, microgravity]
-
A.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
C.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
-
D.
hasEnvironmentalControl
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
-
E.
environmentalMonitoring
Indicates the ongoing observation, measurement, and assessment of environmental conditions or changes, typically to detect impacts, trends, or compliance with standards.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.