Triple
T11746802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul–Singapore |
E279299
|
entity |
| Predicate | isPartOfAviationMarket |
P87745
|
FINISHED |
| Object | Asia–Pacific air travel market |
—
|
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: Asia–Pacific air travel market | Statement: [Seoul–Singapore, isPartOfAviationMarket, Asia–Pacific air travel market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfAviationMarket Context triple: [Seoul–Singapore, isPartOfAviationMarket, Asia–Pacific air travel market]
-
A.
belongsToAviationMarket
chosen
Indicates that something is part of, or associated with, the aviation industry market segment.
-
B.
isPartOfAviationSystem
Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
-
C.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of aviation.
-
D.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
-
E.
avionicsSupplier
Indicates that one entity supplies avionics systems, components, or related services to 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.