Triple
T36058869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuala Lumpur International Airport to Beijing Capital International Airport |
E1043020
|
entity |
| Predicate | usualOperator |
P60440
|
FINISHED |
| Object | Malaysia Airlines |
—
|
NE NERFINISHED |
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: Malaysia Airlines | Statement: [Kuala Lumpur International Airport to Beijing Capital International Airport, usualOperator, Malaysia Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usualOperator Context triple: [Kuala Lumpur International Airport to Beijing Capital International Airport, usualOperator, Malaysia Airlines]
-
A.
typicalOperator
chosen
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
B.
operator
Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
-
C.
otherOperator
Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
-
D.
operatorUse
Indicates that an operator or tool is being used or applied by one entity to act upon or interact with another entity.
-
E.
typicalOperatorType
Indicates the usual or most common type or category of operator associated with a given entity 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.