Triple
T10072647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket Lab |
E213666
|
entity |
| Predicate | usesPropellant |
P42806
|
FINISHED |
| Object | RP-1 kerosene |
—
|
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: RP-1 kerosene | Statement: [Rocket Lab, usesPropellant, RP-1 kerosene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPropellant Context triple: [Rocket Lab, usesPropellant, RP-1 kerosene]
-
A.
usesPropellantType
chosen
Indicates that one entity operates or functions using a specific type of propellant as its fuel or reaction mass.
-
B.
propellantMass
Indicates the amount of propellant associated with or used by an object or system in a given context.
-
C.
propellantCombination
Indicates a specific pairing of propellant components that are used together in a propulsion or combustion system.
-
D.
propellantStorage
Indicates that one entity serves as a location or facility where propellant is stored for later use.
-
E.
propellantRatio
Indicates the proportional relationship between different propellant components used together in a propulsion 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:59 p.m.