Triple
T1991302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossiya Airlines |
E43256
|
entity |
| Predicate | fleetIncludes |
P10916
|
FINISHED |
| Object | Airbus A319 |
E50613
|
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: Airbus A319 | Statement: [Rossiya Airlines, fleetIncludes, Airbus A319]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airbus A319 Context triple: [Rossiya Airlines, fleetIncludes, Airbus A319]
-
A.
Airbus A319
chosen
The Airbus A319 is a short- to medium-range, narrow-body commercial airliner in the Airbus A320 family, widely used by airlines around the world for passenger services.
-
B.
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.
-
C.
Airbus A321
The Airbus A321 is a stretched, single-aisle commercial jet airliner widely used for short- to medium-haul passenger flights.
-
D.
Airbus A310
The Airbus A310 is a twin-engine, wide-body jet airliner introduced in the early 1980s as a shorter, more efficient derivative of the Airbus A300 for medium- to long-haul routes.
-
E.
Airbus A330
The Airbus A330 is a wide-body, twin-engine jet airliner designed for medium- to long-haul routes and widely used by airlines around the world.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8451fe8819093531052f4533c36 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc01679b08190888249a147330288 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 4, 2026, 7:37 p.m.