Triple
T26052467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnam Airlines Lotusmiles Gold |
E648018
|
entity |
| Predicate | membershipCardColor |
P90360
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [Vietnam Airlines Lotusmiles Gold, membershipCardColor, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipCardColor Context triple: [Vietnam Airlines Lotusmiles Gold, membershipCardColor, gold]
-
A.
physicalCardColor
Indicates the relationship between a physical card and the color that characterizes its appearance.
-
B.
cardColor
chosen
Indicates the color attribute assigned to a card in the relationship.
-
C.
memberColorTitle
Indicates that a member is associated with a specific color used in their displayed title or label.
-
D.
hasClubColor
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
E.
cardTheme
Indicates the thematic style or visual motif associated with a card in relation to its content or 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 22, 2026, 9:11 a.m.