Triple
T35790201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CallAir A-2 |
E1034672
|
entity |
| Predicate | manufacturerIndustry |
P183670
|
FINISHED |
| Object | general aviation |
—
|
LITERAL 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: general aviation | Statement: [CallAir A-2, manufacturerIndustry, general aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerIndustry Context triple: [CallAir A-2, manufacturerIndustry, general aviation]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturerGroup
Indicates that multiple manufacturers are associated together as a single group or consortium for a shared purpose or classification.
-
C.
manufacturerInUniverse
Indicates that one entity serves as the manufacturer or producer of another entity within a specified fictional or defined universe.
-
D.
manufacturerClass
Indicates that an entity belongs to, or is categorized within, a particular class or type of manufacturer.
-
E.
industryOfOrigin
Indicates the industry or sector from which an entity (such as a company, product, or person) originally comes or was first established.
- F. None of above. chosen
Provenance (4 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a22e0ff88190989a5df84fca968b |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.