Triple
T27929971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadeokdo New Airport |
E707952
|
entity |
| Predicate | intendedPrimaryAirlineUse |
P16896
|
FINISHED |
| Object | multiple airlines |
—
|
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: multiple airlines | Statement: [Gadeokdo New Airport, intendedPrimaryAirlineUse, multiple airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPrimaryAirlineUse Context triple: [Gadeokdo New Airport, intendedPrimaryAirlineUse, multiple airlines]
-
A.
airlinesUse
chosen
Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
-
B.
designatedAirlineType
Indicates that an airline has been assigned a specific operational or classification type for a given context or service.
-
C.
usedForPassengerFlights
Indicates that something serves as a means or facility for transporting passengers on flights.
-
D.
usedByAirlineRole
Indicates that something (such as a resource, system, or process) is utilized by a specific role or position within an airline organization.
-
E.
associatedAirlinePrimaryMarket
Indicates that an airline is primarily associated with, or operates chiefly within, a particular geographic or commercial market.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 7:02 p.m.