Triple
T1127601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Douglas International Airport |
E24755
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
|
E127543
|
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: KCLT | Statement: [Charlotte Douglas International Airport, ICAOcode, KCLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCLT Context triple: [Charlotte Douglas International Airport, ICAOcode, KCLT]
-
A.
KSLC
KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
-
B.
KWT
KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
E.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
- 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: KCLT Triple: [Charlotte Douglas International Airport, ICAOcode, KCLT]
Generated description
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KCLT Target entity description: KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
-
A.
KSLC
KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
-
B.
KWT
KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
E.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdd39b88190bf46de38818fe2df |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53a16a5881908e6c6f7fafe87107 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac53f04ad081908f1536f17e65f633 |
completed | March 7, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac54971fc88190b009a05180f10cf5 |
completed | March 7, 2026, 4:38 p.m. |
Created at: March 1, 2026, 7:44 p.m.