Triple
T7743649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solid Rocket Booster |
E175569
|
entity |
| Predicate | massContribution |
P78455
|
FINISHED |
| Object | major portion of total launch thrust |
—
|
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: major portion of total launch thrust | Statement: [Solid Rocket Booster, massContribution, major portion of total launch thrust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massContribution Context triple: [Solid Rocket Booster, massContribution, major portion of total launch thrust]
-
A.
massProperty
Indicates that one entity has a mass-related physical property or characteristic associated with it.
-
B.
spacecraftMass
Indicates the mass value associated with a spacecraft in a given context.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
massAtLiftoff
Indicates the total mass an object or vehicle has at the moment it leaves the ground or launch platform.
-
E.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:07 p.m.