Triple
T9922202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Florida Beaches International Airport |
E187822
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KECP
KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
|
E829125
|
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: KECP | Statement: [Northwest Florida Beaches International Airport, ICAO code, KECP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KECP Context triple: [Northwest Florida Beaches International Airport, ICAO code, KECP]
-
A.
KEC
KEC is the common abbreviation for Kölner Haie, a professional ice hockey club based in Cologne, Germany.
-
B.
EKP
EKP is the commonly used abbreviation for the Evangelical Church of the Palatinate, a Protestant regional church in southwestern Germany.
-
C.
KE
KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
-
D.
KE
KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
-
E.
KE
KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
- 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: KECP Triple: [Northwest Florida Beaches International Airport, ICAO code, KECP]
Generated description
KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KECP Target entity description: KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
-
A.
KEC
KEC is the common abbreviation for Kölner Haie, a professional ice hockey club based in Cologne, Germany.
-
B.
EKP
EKP is the commonly used abbreviation for the Evangelical Church of the Palatinate, a Protestant regional church in southwestern Germany.
-
C.
KE
KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
-
D.
KE
KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
-
E.
KE
KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56c7da88190ac37986a2e766b1e |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e019f788190a0106b60c8a39efa |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ed2dea481909fd9a9dddac3daf1 |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fef723881909d8d57548461926f |
completed | April 5, 2026, 7:31 a.m. |
Created at: March 30, 2026, 8:42 p.m.