Triple
T1310583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando International Airport |
E27980
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
|
E148978
|
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: KMCO | Statement: [Orlando International Airport, ICAOcode, KMCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMCO Context triple: [Orlando International Airport, ICAOcode, KMCO]
-
A.
MKC
MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
-
B.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
-
C.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
D.
KCH
KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
-
E.
KO
KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
- 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: KMCO Triple: [Orlando International Airport, ICAOcode, KMCO]
Generated description
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMCO Target entity description: KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
A.
MKC
MKC is the IATA airport code for Charles B. Wheeler Downtown Airport, a general aviation and corporate airport serving Kansas City, Missouri.
-
B.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
-
C.
KMK
KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
-
D.
KCH
KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
-
E.
KO
KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30b45708190aaf8c977fef2500c |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb389ab248190b67eb802ed1ac01f |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb423e2948190b3927d2f041b6215 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:51 p.m.