Triple
T25573892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VEDG |
E641052
|
entity |
| Predicate | supportsCommercialOperations |
P105471
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [VEDG, supportsCommercialOperations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCommercialOperations Context triple: [VEDG, supportsCommercialOperations, yes]
-
A.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
B.
supportsBusiness
Indicates that one entity provides assistance, resources, or services that help another entity operate, grow, or succeed in its business activities.
-
C.
supportsOperationsWith
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
D.
supportsCommercialFlights
Indicates that the subject provides the necessary facilities, services, or conditions for regular commercial passenger or cargo flights to operate.
-
E.
hasCommercialServices
chosen
Indicates that one entity provides or offers commercial services to another entity or within a specified context.
- F. None of above.
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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 21, 2026, 4 p.m.