Triple
T6122608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AeroCaribbean Flight 883 |
E136518
|
entity |
| Predicate | aircraftEnginesNumber |
P3542
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [AeroCaribbean Flight 883, aircraftEnginesNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftEnginesNumber Context triple: [AeroCaribbean Flight 883, aircraftEnginesNumber, 2]
-
A.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
B.
aircraftEngineType
Indicates the specific type or classification of engine that an aircraft uses.
-
C.
wingMountedEngines
Indicates that the engines of an aircraft are mounted on its wings rather than on other parts of the airframe.
-
D.
aircraftPowerplantType
Indicates the type or category of powerplant (e.g., engine or propulsion system) used by an aircraft.
-
E.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c247b7081909972b40afb165e6f |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.