Triple
T987799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City International Airport |
E21317
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
MCI
MCI is a major commercial airport serving the Kansas City metropolitan area in Missouri, United States.
|
E116667
|
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: MCI | Statement: [Kansas City International Airport, IATA code, MCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCI Context triple: [Kansas City International Airport, IATA code, MCI]
-
A.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
-
B.
MCI Inc.
MCI Inc. was a major American telecommunications company and long-distance service provider that played a key role in breaking AT&T’s monopoly before eventually being acquired by Verizon.
-
C.
MCA
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
-
D.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
-
E.
MSA
MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
- 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: MCI Triple: [Kansas City International Airport, IATA code, MCI]
Generated description
MCI is a major commercial airport serving the Kansas City metropolitan area in Missouri, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCI Target entity description: MCI is a major commercial airport serving the Kansas City metropolitan area in Missouri, United States.
-
A.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
-
B.
MCI Inc.
MCI Inc. was a major American telecommunications company and long-distance service provider that played a key role in breaking AT&T’s monopoly before eventually being acquired by Verizon.
-
C.
MCA
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
-
D.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
-
E.
MSA
MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a89a58819081a24b5b0a12f122 |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce5c0d48190ab023cec30b2c25a |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac20a7f47c8190b765cde3c6fbe1f8 |
completed | March 7, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac21640a8c8190820a1b34a7d5c895 |
completed | March 7, 2026, 1 p.m. |
Created at: March 1, 2026, 7:41 p.m.