Triple
T276705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falcon 9 |
E5264
|
entity |
| Predicate | landingMethodFirstStage |
P8437
|
FINISHED |
| Object | propulsive vertical landing |
—
|
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: propulsive vertical landing | Statement: [Falcon 9, landingMethodFirstStage, propulsive vertical landing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landingMethodFirstStage Context triple: [Falcon 9, landingMethodFirstStage, propulsive vertical landing]
-
A.
firstMannedDescent
Indicates that the subject entity is the first to have carried humans in a descent to the object entity (such as a location, surface, or depth).
-
B.
firstMannedDescentBy
Indicates that the subject is the first entity to have carried out a manned descent to the object (such as a location or celestial body).
-
C.
thrustFirstStageSeaLevel
Indicates the amount of thrust produced by the rocket’s first stage when operating at sea level.
-
D.
landingGear
Indicates that an entity’s landing gear is present, deployed, or otherwise involved in a landing-related state or action relative to another entity or context.
-
E.
dateOfLanding
Indicates the specific calendar date on which a landing event took place.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25ded68c88190b1fc595ce329aeb9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2d94388190aeda17ddd42b4ac9 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.