Triple
T3976511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-27J Spartan |
E85655
|
entity |
| Predicate | shortTakeoffAndLandingCapability |
P53274
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [C-27J Spartan, shortTakeoffAndLandingCapability, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortTakeoffAndLandingCapability Context triple: [C-27J Spartan, shortTakeoffAndLandingCapability, yes]
-
A.
landingCapability
Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
-
B.
aircraftLaunchAndRecovery
Indicates the relationship in which an aircraft is launched from and/or recovered by a platform, facility, or system.
-
C.
landingGearType
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
-
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.
airCapability
Indicates that an entity possesses the ability or resources to operate or project power in the air (e.g., through aircraft, air defenses, or related systems).
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefac8f7a48190b065487ce090eaf2 |
completed | March 9, 2026, 4:52 p.m. |
Created at: March 9, 2026, 3:33 p.m.