Triple
T4301345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATR 42 |
E99843
|
entity |
| Predicate | developer |
P73
|
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: [ATR 42, developer, ATR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATR Context triple: [ATR 42, developer, 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 72
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
C.
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.
-
D.
ATA-3
ATA-3 is the third generation of the AT Attachment (ATA) interface standard for connecting storage devices like hard drives and optical drives to computers, introducing enhancements in performance and reliability over earlier versions.
-
E.
ATC
ATC (Anatomical Therapeutic Chemical Classification System) is a widely used international system for classifying drugs according to the organ or system they act on and their therapeutic, pharmacological, and chemical properties.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db8a3a0481909d24f214f56bd21e |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 12, 2026, 11:08 p.m.