Triple
T4236706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayabusa2 |
E94710
|
entity |
| Predicate | returnedSampleMass |
P54856
|
FINISHED |
| Object | over 5.4 grams |
—
|
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: over 5.4 grams | Statement: [Hayabusa2, returnedSampleMass, over 5.4 grams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedSampleMass Context triple: [Hayabusa2, returnedSampleMass, over 5.4 grams]
-
A.
returnedLunarSamplesMass
Indicates the total mass of lunar material that was brought back to Earth from a specific mission or activity.
-
B.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
-
C.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
- 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.