Triple
T7716005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VASCO |
E174883
|
entity |
| Predicate | typicalAircraft |
P1524
|
FINISHED |
| Object | ATR 72 |
E97304
|
NE 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: ATR 72 | Statement: [VASCO, typicalAircraft, ATR 72]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATR 72 Context triple: [VASCO, typicalAircraft, ATR 72]
-
A.
ATR 72
chosen
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
B.
ATR 42
The ATR 42 is a twin-turboprop, short-haul regional airliner developed by the French-Italian manufacturer ATR, widely used by airlines for commuter and regional routes.
-
C.
Dornier Do 328
The Dornier Do 328 is a German-built regional turboprop airliner known for its high cruising speed, advanced aerodynamics, and short takeoff and landing capabilities.
-
D.
Fokker 70
The Fokker 70 is a Dutch-built, twin-engine regional jet airliner designed for short- to medium-haul routes, widely used in Europe during the 1990s and 2000s.
-
E.
Airbus A318
The Airbus A318 is the smallest variant of Airbus's A320-series narrow-body airliners, designed for short- to medium-haul routes with reduced passenger capacity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cd0ddc8190aa23d998f55d0bd6 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b50cf3208190af9bb2d4126d381b |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:04 p.m.