Triple
T806853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loganair |
E17455
|
entity |
| Predicate | operatesAircraftType |
P1523
|
FINISHED |
| Object | ATR 42 |
E99843
|
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 42 | Statement: [Loganair, operatesAircraftType, ATR 42]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATR 42 Context triple: [Loganair, operatesAircraftType, ATR 42]
-
A.
ATR 42
chosen
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.
-
B.
ATR 72
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
C.
Embraer ERJ 145
The Embraer ERJ 145 is a Brazilian-built regional jet airliner widely used for short-haul passenger and military transport operations.
-
D.
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.
-
E.
Embraer ERJ 135
The Embraer ERJ 135 is a Brazilian-built regional jet airliner designed for short-haul passenger service, widely used by both commercial airlines and military operators.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c00e3fb48190a242264358413b05 |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:38 p.m.