Triple
T27507774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz OM668 |
E694323
|
entity |
| Predicate | secondaryApplicationType |
P183985
|
FINISHED |
| Object | aviation (light aircraft conversions) |
—
|
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: aviation (light aircraft conversions) | Statement: [Mercedes-Benz OM668, secondaryApplicationType, aviation (light aircraft conversions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryApplicationType Context triple: [Mercedes-Benz OM668, secondaryApplicationType, aviation (light aircraft conversions)]
-
A.
secondaryApplication
Indicates that an additional, follow-up application is submitted or required beyond an initial primary application.
-
B.
applicantType
Indicates the classification or category of an applicant in relation to an application or selection process.
-
C.
onlineApplication
Indicates that an application or request is submitted, processed, or managed through an online or web-based system.
-
D.
applicantIn
Indicates that a person or entity is serving as an applicant within a particular context, process, or organization.
-
E.
secondaryCampus
Indicates that an institution or organization has an additional, non-primary campus located at a different site.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 27, 2026, 1:14 p.m.