Triple
T35403765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga-Dnepr Airlines |
E1023307
|
entity |
| Predicate | cargoFocus |
P93658
|
FINISHED |
| Object | project cargo |
—
|
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: project cargo | Statement: [Volga-Dnepr Airlines, cargoFocus, project cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoFocus Context triple: [Volga-Dnepr Airlines, cargoFocus, project cargo]
-
A.
cargo
Indicates that one entity is the goods or load being transported, carried, or shipped by another entity.
-
B.
cargoSystem
Indicates a relationship where an entity is part of, managed by, or associated with a cargo-handling or cargo-management system.
-
C.
cargoDescription
Indicates that one entity provides a textual description or details about the cargo associated with another entity.
-
D.
cargoSpecialization
chosen
Indicates that an entity is specialized or designated for handling, transporting, or managing a particular type or category of cargo.
-
E.
cargoAccess
Indicates that an entity has permission or capability to access, enter, or interact with a cargo area or cargo-related contents.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7953fa72c8190bd737ef5dfa0ffc0 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.