Triple
T3017145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MALAYSIAN |
E82363
|
entity |
| Predicate | usedByType |
P18110
|
FINISHED |
| Object | flag carrier airline |
—
|
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: flag carrier airline | Statement: [MALAYSIAN, usedByType, flag carrier airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByType Context triple: [MALAYSIAN, usedByType, flag carrier airline]
-
A.
usedInType
chosen
Indicates that something serves as a component, element, or example within a particular type or category.
-
B.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
C.
usedByModel
Indicates that something (such as a resource, method, or component) is utilized or consumed by a particular model.
-
D.
usedByBranch
Indicates that something (such as a resource, configuration, or component) is utilized or depended upon by a particular branch.
-
E.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.