Triple
T7995177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joplin Regional Airport |
E186106
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KJLN
KJLN is the ICAO airport code for Joplin Regional Airport, a public airport serving Joplin, Missouri, in the United States.
|
E703844
|
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: KJLN | Statement: [Joplin Regional Airport, ICAO code, KJLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KJLN Context triple: [Joplin Regional Airport, ICAO code, KJLN]
-
A.
KJWY
KJWY is the ICAO airport code for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas, United States.
-
B.
KALB
KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
-
C.
KAKR
KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
-
D.
KEWR
KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
-
E.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
- 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: KJLN Triple: [Joplin Regional Airport, ICAO code, KJLN]
Generated description
KJLN is the ICAO airport code for Joplin Regional Airport, a public airport serving Joplin, Missouri, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KJLN Target entity description: KJLN is the ICAO airport code for Joplin Regional Airport, a public airport serving Joplin, Missouri, in the United States.
-
A.
KJWY
KJWY is the ICAO airport code for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas, United States.
-
B.
KALB
KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
-
C.
KAKR
KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
-
D.
KEWR
KEWR is the ICAO airport code for Newark Liberty International Airport, a major commercial airport serving the New York City metropolitan area.
-
E.
KRDG
KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c7547dc8190a60a06b3d61764b0 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe105d400819096ba271416bb24e7 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe440a66c8190a5d5b417fb5082b7 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc338a1c48819086ece073e04e8fa6 |
completed | March 31, 2026, 8:50 p.m. |
Created at: March 30, 2026, 5:17 p.m.