Triple
T2849514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block 2 |
E63057
|
entity |
| Predicate | payloadCapacityClass |
P38968
|
FINISHED |
| Object | over 100 metric tons to low Earth orbit |
—
|
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 100 metric tons to low Earth orbit | Statement: [Block 2, payloadCapacityClass, over 100 metric tons to low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payloadCapacityClass Context triple: [Block 2, payloadCapacityClass, over 100 metric tons to low Earth orbit]
-
A.
passengerCapacityCategory
Indicates the classification of an entity based on the number of passengers it is designed or allowed to carry.
-
B.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
C.
maximumPassengerCapacity
Indicates the greatest number of passengers that an entity is designed or allowed to carry at one time.
-
D.
gtoPayloadCapacity
Indicates the maximum payload mass an object (typically a launch vehicle) can deliver to a geostationary transfer orbit.
-
E.
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.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf41ac24819087c5b72e3b84117c |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.