Triple
T12676742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charger |
E302832
|
entity |
| Predicate | associatedWithAircraftPerformance |
P106233
|
FINISHED |
| Object | supersonic cruise |
—
|
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: supersonic cruise | Statement: [Charger, associatedWithAircraftPerformance, supersonic cruise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftPerformance Context triple: [Charger, associatedWithAircraftPerformance, supersonic cruise]
-
A.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
B.
basedOnAircraft
Indicates that one entity is derived from, modeled after, or otherwise uses a particular aircraft as its basis or primary reference.
-
C.
associatedWithAircraftColor
Indicates that there is a relationship between an aircraft and a specific color with which that aircraft is identified or depicted.
-
D.
aircraftCapability
Indicates that an aircraft possesses a particular capability, function, or operational feature.
-
E.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:20 p.m.