Triple
T17839478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puma helicopter |
E445483
|
entity |
| Predicate | hasTakeoffAndLandingCapability |
P129376
|
FINISHED |
| Object | vertical takeoff and 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: vertical takeoff and landing | Statement: [Puma helicopter, hasTakeoffAndLandingCapability, vertical takeoff and landing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTakeoffAndLandingCapability Context triple: [Puma helicopter, hasTakeoffAndLandingCapability, vertical takeoff and landing]
-
A.
shortTakeoffAndLandingCapability
Indicates that an entity has the ability to take off and land safely on runways or surfaces that are significantly shorter than standard operational requirements.
-
B.
landingCapability
Indicates the ability or suitability of an entity (e.g., a vehicle or system) to perform a landing under specified conditions.
-
C.
hasLandingCharacteristics
Indicates that an entity possesses specific attributes or features related to how it lands or is capable of landing.
-
D.
hasLandingSystem
Indicates that an entity is equipped with or utilizes a particular landing system for performing landings.
-
E.
landingGearType
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2a570c81909787296bde7e795c |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:16 a.m.