Triple
T19116773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimpo International Airport |
E467926
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | Kimpo Airport |
—
|
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: Kimpo Airport | Statement: [Gimpo International Airport, previousName, Kimpo Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimpo Airport Context triple: [Gimpo International Airport, previousName, Kimpo Airport]
-
A.
Neryungri Airport
Neryungri Airport is a regional airport in the Sakha Republic of Russia that serves the town of Neryungri and its surrounding area.
-
B.
Gunsan Airport
Gunsan Airport is a regional airport in Gunsan, South Korea, serving both civilian flights and military operations.
-
C.
Gimpo International Airport
chosen
Gimpo International Airport is a major airport serving the Seoul metropolitan area, primarily handling domestic flights and regional international routes.
-
D.
Gwangju Airport
Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
-
E.
Wonsan Kalma International Airport
Wonsan Kalma International Airport is a modern civilian and military airport in Wonsan, North Korea, known for its extensive reconstruction and role in the country’s tourism and strategic infrastructure plans.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3984bf48190818fa2b01b75decb |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.