Triple
T4214808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayabusa |
E94188
|
entity |
| Predicate | landerType |
P54795
|
FINISHED |
| Object | hopping rover |
—
|
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: hopping rover | Statement: [Hayabusa, landerType, hopping rover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landerType Context triple: [Hayabusa, landerType, hopping rover]
-
A.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
B.
landerMass
Indicates the mass value associated with a lander in a given context or dataset.
-
C.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
D.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
E.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
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, 11:04 p.m.