Triple
T4236702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayabusa2 |
E94710
|
entity |
| Predicate | SCIType |
P54854
|
FINISHED |
| Object | kinetic impactor |
—
|
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: kinetic impactor | Statement: [Hayabusa2, SCIType, kinetic impactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SCIType Context triple: [Hayabusa2, SCIType, kinetic impactor]
-
A.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
B.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
-
C.
typeOfScientist
Indicates that one entity is a scientist and the other specifies the kind or specialization of that scientist.
-
D.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
-
E.
scientificStatus
Indicates the recognized level, role, or standing of an entity within the scientific community or system.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7422a88190955f5f4347fa80d2 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.