Triple
T7510179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHL Aviation |
E177498
|
entity |
| Predicate | hasOperationalModel |
P9632
|
FINISHED |
| Object | network of affiliated airlines |
—
|
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: network of affiliated airlines | Statement: [DHL Aviation, hasOperationalModel, network of affiliated airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationalModel Context triple: [DHL Aviation, hasOperationalModel, network of affiliated airlines]
-
A.
hasOperationalComponent
Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
-
B.
operatingModel
chosen
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
C.
hasModelStatus
Indicates that an entity is assigned a particular model-related state or condition, such as its current phase, validity, or operational status within a modeling context.
-
D.
hasWorkingMode
Indicates that an entity operates under or supports a particular mode or configuration of functioning.
-
E.
hasOperatingMIC
Indicates that an entity operates or manages a specific MIC (Market Identifier Code) in a financial or trading 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.