Triple
T12676741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charger |
E302832
|
entity |
| Predicate | associatedWithAircraftConfiguration |
P3541
|
FINISHED |
| Object | delta-wing airliner |
—
|
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: delta-wing airliner | Statement: [Charger, associatedWithAircraftConfiguration, delta-wing airliner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftConfiguration Context triple: [Charger, associatedWithAircraftConfiguration, delta-wing airliner]
-
A.
aircraftConfiguration
chosen
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
-
B.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
C.
aircraftConfigurationProduced
Indicates that a specific aircraft configuration has been manufactured or produced.
-
D.
associatedWithICAOcode
Indicates a relationship where an entity is linked to, or identified by, a specific ICAO (International Civil Aviation Organization) code.
-
E.
associatedWithAircraftColor
Indicates that there is a relationship between an aircraft and a specific color with which that aircraft is identified or depicted.
- 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_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. |
Created at: April 9, 2026, 5:20 p.m.