Triple
T14389296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acorn Archimedes |
E356799
|
entity |
| Predicate | firstModels |
P5101
|
FINISHED |
| Object | A310 |
E37816
|
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: A310 | Statement: [Acorn Archimedes, firstModels, A310]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A310 Context triple: [Acorn Archimedes, firstModels, A310]
-
A.
Airbus A310
chosen
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.
-
B.
Airbus A300
The Airbus A300 is a wide-body twin-engine jet airliner introduced in the 1970s as Airbus’s first commercial aircraft and one of the world’s earliest twin-engine wide-bodies.
-
C.
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.
-
D.
Airbus A340
The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
-
E.
Airbus A319
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.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.