Triple
T5355276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOXIE |
E102673
|
entity |
| Predicate | testedProcess |
P63212
|
FINISHED |
| Object | splitting carbon dioxide into oxygen and carbon monoxide |
—
|
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: splitting carbon dioxide into oxygen and carbon monoxide | Statement: [MOXIE, testedProcess, splitting carbon dioxide into oxygen and carbon monoxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testedProcess Context triple: [MOXIE, testedProcess, splitting carbon dioxide into oxygen and carbon monoxide]
-
A.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
-
B.
testedOn
Indicates that an entity has been used as the subject or material in a test, experiment, or evaluation performed by another entity.
-
C.
testResult
Indicates that an entity has produced a specific outcome or value when subjected to a particular test or evaluation.
-
D.
testStatus
Indicates the current outcome or state of a test, such as whether it has passed, failed, or is still in progress.
-
E.
testPilot
Indicates that an entity serves as a pilot responsible for testing and evaluating aircraft or related flight systems.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862dbb008190aef653acddafd38b |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2:01 p.m.