Triple
T8479273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlington Municipal Airport |
E200473
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
KGKY
KGKY is the ICAO airport code for Arlington Municipal Airport in Arlington, Texas, a public airport serving general aviation.
|
E737426
|
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: KGKY | Statement: [Arlington Municipal Airport, icaoCode, KGKY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGKY Context triple: [Arlington Municipal Airport, icaoCode, KGKY]
-
A.
KGYR
KGYR is the ICAO airport code for Phoenix Goodyear Airport, a public airport serving the Goodyear area near Phoenix, Arizona.
-
B.
KGYY
KGYY is the ICAO airport code for Gary/Chicago International Airport, a public airport serving the Gary, Indiana and greater Chicago metropolitan area.
-
C.
KGYI
KGYI is the ICAO airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
-
D.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
E.
KGJT
KGJT is the ICAO airport code for Grand Junction Regional Airport, a public airport serving Grand Junction in western Colorado, 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: KGKY Triple: [Arlington Municipal Airport, icaoCode, KGKY]
Generated description
KGKY is the ICAO airport code for Arlington Municipal Airport in Arlington, Texas, a public airport serving general aviation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KGKY Target entity description: KGKY is the ICAO airport code for Arlington Municipal Airport in Arlington, Texas, a public airport serving general aviation.
-
A.
KGYR
KGYR is the ICAO airport code for Phoenix Goodyear Airport, a public airport serving the Goodyear area near Phoenix, Arizona.
-
B.
KGYY
KGYY is the ICAO airport code for Gary/Chicago International Airport, a public airport serving the Gary, Indiana and greater Chicago metropolitan area.
-
C.
KGYI
KGYI is the ICAO airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
-
D.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
E.
KGJT
KGJT is the ICAO airport code for Grand Junction Regional Airport, a public airport serving Grand Junction in western Colorado, 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5232d008190ae55b982f5fc9e8b |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a22d6e481908bdb0b9cc0df0113 |
completed | April 2, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ce3cddba648190be303823862a0423 |
completed | April 2, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3d5edabc8190b985546b8242e90a |
completed | April 2, 2026, 9:56 a.m. |
Created at: March 30, 2026, 6:12 p.m.