Triple
T23534834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YK40 |
E576670
|
entity |
| Predicate | hasAircraftModelFullName |
P112363
|
FINISHED |
| Object | Yakovlev Yak-40 |
—
|
NE NERFINISHED |
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: Yakovlev Yak-40 | Statement: [YK40, hasAircraftModelFullName, Yakovlev Yak-40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAircraftModelFullName Context triple: [YK40, hasAircraftModelFullName, Yakovlev Yak-40]
-
A.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
B.
aircraftNamedIs
chosen
Indicates that a specific aircraft has the given name or designation.
-
C.
referredAircraftCommonName
Indicates that one entity mentions or identifies an aircraft using its commonly known name.
-
D.
specificCarrierAircraftVariant
Indicates that one aircraft variant is a specific version designed or adapted for carrier-based operations of another, more general aircraft variant.
-
E.
aircraftManufacturerOfAircraft
Indicates that a given manufacturer is the producer or builder of a specified aircraft.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae164f348190a6bde1a0dfc66389 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.