Triple
T5050295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shuttle Atlantis |
E113766
|
entity |
| Predicate | maxPayloadToLEO |
P38968
|
FINISHED |
| Object | about 27500 kg |
—
|
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 27500 kg | Statement: [Space Shuttle Atlantis, maxPayloadToLEO, about 27500 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxPayloadToLEO Context triple: [Space Shuttle Atlantis, maxPayloadToLEO, about 27500 kg]
-
A.
designedPayloadToLEO
Indicates that an object (typically a launch vehicle or system) is designed to deliver a specified payload mass to Low Earth Orbit (LEO).
-
B.
maximumPayload
Indicates the greatest amount of load or capacity that an entity is designed or allowed to carry, handle, or support.
-
C.
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.
-
D.
cargoCapacityToISS
Indicates the amount of cargo that can be transported to the International Space Station in a given mission or by a given vehicle.
-
E.
cargoCapacityFromISS
Indicates the amount of cargo capacity that is transported from the International Space Station to another location or vehicle.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7425df74819091cfde348dd16a68 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.