Triple
T16680491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alenia Aeronautica |
E405324
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | ATR |
E219287
|
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 | Statement: [Alenia Aeronautica, collaboratedWith, ATR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATR Context triple: [Alenia Aeronautica, collaboratedWith, ATR]
-
A.
ATR
chosen
ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
-
B.
ATR
ATR is a high-flux nuclear research reactor at Idaho National Laboratory used primarily for materials testing and irradiation experiments.
-
C.
ATR
ATR is the commonly used abbreviation for the Andaman Trunk Road, a major roadway running through the Andaman Islands in India.
-
D.
ATR 72
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
E.
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.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6f5cf481909e7628bbaa884e5a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.