Triple
T7716053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotusmiles |
E174884
|
entity |
| Predicate | hasDigitalChannel |
P10738
|
FINISHED |
| Object | Vietnam Airlines website |
—
|
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: Vietnam Airlines website | Statement: [Lotusmiles, hasDigitalChannel, Vietnam Airlines website]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDigitalChannel Context triple: [Lotusmiles, hasDigitalChannel, Vietnam Airlines website]
-
A.
hasDigitalAccess
Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
-
B.
hasDigitalService
chosen
Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
-
C.
hasDigitalSystem
Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
-
D.
hasDigitalDivision
Indicates that one entity is divided into parts or segments within a digital or electronic context by another entity or according to a specified digital scheme.
-
E.
hasDigitalEncoding
Indicates that one entity is represented, stored, or expressed using a specific digital code or encoding scheme provided by another entity.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.