Triple
T19700064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-10 parachute |
E473066
|
entity |
| Predicate | parachuteType |
P136985
|
FINISHED |
| Object | non-steerable main canopy |
—
|
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: non-steerable main canopy | Statement: [D-10 parachute, parachuteType, non-steerable main canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parachuteType Context triple: [D-10 parachute, parachuteType, non-steerable main canopy]
-
A.
parachuteSystem
Indicates that one entity functions as a parachute system used to safely decelerate or recover another entity.
-
B.
parachuteStatus
Indicates the current condition or operational state of a parachute in relation to its use or deployment.
-
C.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
D.
landingGearType
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
-
E.
paratroopCapacity
Indicates the maximum number of paratroopers or amount of airborne troops that something (typically a vehicle or vessel) is capable of carrying or deploying.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b4e01081908f857f219d5d7a24 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.