Triple
T17121172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N328KF |
E415467
|
entity |
| Predicate | associatedWithCarrierAircraftRegistration |
P5244
|
FINISHED |
| Object | N318SL |
—
|
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: N318SL | Statement: [N328KF, associatedWithCarrierAircraftRegistration, N318SL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCarrierAircraftRegistration Context triple: [N328KF, associatedWithCarrierAircraftRegistration, N318SL]
-
A.
associatedWithICAOcode
Indicates a relationship where an entity is linked to, or identified by, a specific ICAO (International Civil Aviation Organization) code.
-
B.
associatedWithAircraftDesignation
Indicates a relationship where something is linked to, identified by, or characterized through a specific aircraft designation.
-
C.
aircraftRegistration
chosen
Indicates that an aircraft is assigned a specific official registration identifier or code.
-
D.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
E.
aircraftRegistrationInvolved
Indicates that a specific aircraft registration is involved in, associated with, or affected by a particular event, action, or record.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.