Triple
T3055090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BepiColombo |
E60459
|
entity |
| Predicate | MPOScienceFocus |
P7242
|
FINISHED |
| Object | surface and interior of Mercury |
—
|
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: surface and interior of Mercury | Statement: [BepiColombo, MPOScienceFocus, surface and interior of Mercury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MPOScienceFocus Context triple: [BepiColombo, MPOScienceFocus, surface and interior of Mercury]
-
A.
positionOnScience
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
-
B.
scienceReturn
Indicates that an action or process yields scientific data, findings, or value as its outcome.
-
C.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
D.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
E.
scienceGoals
chosen
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.