Triple
T6066241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyongyang Sunan International Airport |
E135167
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
FNJ
FNJ is the IATA airport code for Pyongyang Sunan International Airport, the main international gateway to North Korea’s capital.
|
E567242
|
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: FNJ | Statement: [Pyongyang Sunan International Airport, hasIATAcode, FNJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNJ Context triple: [Pyongyang Sunan International Airport, hasIATAcode, FNJ]
-
A.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
B.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
-
C.
FJT
FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
-
D.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
E.
FNM
FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
- 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: FNJ Triple: [Pyongyang Sunan International Airport, hasIATAcode, FNJ]
Generated description
FNJ is the IATA airport code for Pyongyang Sunan International Airport, the main international gateway to North Korea’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNJ Target entity description: FNJ is the IATA airport code for Pyongyang Sunan International Airport, the main international gateway to North Korea’s capital.
-
A.
FNI
FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
-
B.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
-
C.
FJT
FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
-
D.
FAJS
FAJS is the former ICAO airport code that was used to identify O. R. Tambo International Airport in Johannesburg, South Africa.
-
E.
FNM
FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573df7508190bbb5b496188b2f3e |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11dec348c819090715aa1ec407f11 |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e5efd848190adb834e42b4bdc9e |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:10 p.m.