Triple
T3055084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BepiColombo |
E60459
|
entity |
| Predicate | scienceField |
P41893
|
FINISHED |
| Object | planetary science |
—
|
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: planetary science | Statement: [BepiColombo, scienceField, planetary science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceField Context triple: [BepiColombo, scienceField, planetary science]
-
A.
dimensionOfStudy
chosen
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
B.
researchClassification
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
-
C.
secondScience
Indicates that the subject is the second entity in a sequence or ranking specifically within a scientific context or domain.
-
D.
typeOfScientist
Indicates that one entity is a scientist and the other specifies the kind or specialization of that scientist.
-
E.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
- 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.