Triple
T17131559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-2B |
E415730
|
entity |
| Predicate | geocentricOrbitPayloadCapacity |
P84008
|
FINISHED |
| Object | 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: low Earth orbit | Statement: [H-2B, geocentricOrbitPayloadCapacity, low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geocentricOrbitPayloadCapacity Context triple: [H-2B, geocentricOrbitPayloadCapacity, low Earth orbit]
-
A.
massToLowEarthOrbit
chosen
Indicates the amount of mass that can be transported by a launch system into low Earth orbit.
-
B.
cargoCapacityToISS
Indicates the amount of cargo that can be transported to the International Space Station in a given mission or by a given vehicle.
-
C.
cargoCapacityFromISS
Indicates the amount of cargo capacity that is transported from the International Space Station to another location or vehicle.
-
D.
orbiterMass
Indicates the mass of an orbiter in a given context or system.
-
E.
orbitCapability
Indicates that one entity has the ability or suitability to orbit around another entity.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02a9fbc81909d820d29417aa55c |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.