Triple
T20588777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohang |
E505857
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Pohang Airport
Pohang Airport is a regional airport in Pohang, South Korea, serving both civilian flights and military operations.
|
E1440365
|
NE FINISHED |
How this triple was built (4 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: Pohang Airport | Statement: [Pohang, hasAirport, Pohang Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pohang Airport Context triple: [Pohang, hasAirport, Pohang Airport]
-
A.
Gwangju Airport
Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
-
B.
Gunsan Airport
Gunsan Airport is a regional airport in Gunsan, South Korea, serving both civilian flights and military operations.
-
C.
Daegu International Airport
Daegu International Airport is a regional airport in Daegu, South Korea, serving both domestic and limited international flights.
-
D.
Sacheon Airport
Sacheon Airport is a regional airport in South Korea serving the city of Jinju and the surrounding Gyeongsangnam-do area with domestic flights.
-
E.
Cheongju International Airport
Cheongju International Airport is a major regional airport in central South Korea that serves both domestic and international flights for the city of Cheongju and the surrounding Chungcheong region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pohang Airport Triple: [Pohang, hasAirport, Pohang Airport]
Generated description
Pohang Airport is a regional airport in Pohang, South Korea, serving both civilian flights and military operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pohang Airport Target entity description: Pohang Airport is a regional airport in Pohang, South Korea, serving both civilian flights and military operations.
-
A.
Gwangju Airport
Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
-
B.
Gunsan Airport
Gunsan Airport is a regional airport in Gunsan, South Korea, serving both civilian flights and military operations.
-
C.
Daegu International Airport
Daegu International Airport is a regional airport in Daegu, South Korea, serving both domestic and limited international flights.
-
D.
Sacheon Airport
Sacheon Airport is a regional airport in South Korea serving the city of Jinju and the surrounding Gyeongsangnam-do area with domestic flights.
-
E.
Cheongju International Airport
Cheongju International Airport is a major regional airport in central South Korea that serves both domestic and international flights for the city of Cheongju and the surrounding Chungcheong region.
- F. None of above. chosen
Provenance (5 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3e61f888190b805b7d19d673536 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4a7779481909b5bf6e99e632841 |
completed | May 16, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b57ff3e48190952c973726821e2b |
completed | May 16, 2026, 6:20 p.m. |
Created at: April 16, 2026, 11:40 a.m.