Triple
T21688721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsar Bomba |
E535300
|
entity |
| Predicate | parachuteRetarder |
P136985
|
FINISHED |
| Object | used |
—
|
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: used | Statement: [Tsar Bomba, parachuteRetarder, used]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parachuteRetarder Context triple: [Tsar Bomba, parachuteRetarder, used]
-
A.
parachuteSystem
Indicates that one entity functions as a parachute system used to safely decelerate or recover another entity.
-
B.
parachuteType
chosen
Indicates the specific kind or category of parachute associated with an entity or event.
-
C.
parachuteStatus
Indicates the current condition or operational state of a parachute in relation to its use or deployment.
-
D.
hasWingMountedDiveBrakes
Indicates that an entity is equipped with dive brakes that are mounted on its wings.
-
E.
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.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.