Triple
T4410459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Daedalus |
E94839
|
entity |
| Predicate | designedPayloadMass |
P38968
|
FINISHED |
| Object | about 450 tons |
—
|
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: about 450 tons | Statement: [Project Daedalus, designedPayloadMass, about 450 tons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedPayloadMass Context triple: [Project Daedalus, designedPayloadMass, about 450 tons]
-
A.
spacecraftMass
Indicates the mass value associated with a spacecraft in a given context.
-
B.
massAtLiftoff
Indicates the total mass an object or vehicle has at the moment it leaves the ground or launch platform.
-
C.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
D.
leoPayloadCapacity
chosen
Indicates the maximum payload mass or capacity that can be delivered to Low Earth Orbit (LEO) in the context of a launch vehicle or space mission.
-
E.
orbiterMass
Indicates the mass of an orbiter in a given context or system.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.