Triple
T10797919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBS International Airport |
E254758
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KMBS
KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
|
E885664
|
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: KMBS | Statement: [MBS International Airport, ICAO code, KMBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMBS Context triple: [MBS International Airport, ICAO code, KMBS]
-
A.
KMSP
KMSP is the ICAO airport code for Minneapolis–Saint Paul International Airport, a major air transportation hub serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
-
B.
KMSKB
KMSKB is the commonly used abbreviation for the Royal Museums of Fine Arts of Belgium, a major art museum complex in Brussels renowned for its extensive collection of Belgian and European art.
-
C.
KMCE
KMCE is the ICAO airport code for Merced Regional Airport, a public airport serving Merced, California.
-
D.
KMSKA
KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
-
E.
KM
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
- 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: KMBS Triple: [MBS International Airport, ICAO code, KMBS]
Generated description
KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMBS Target entity description: KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
-
A.
KMSP
KMSP is the ICAO airport code for Minneapolis–Saint Paul International Airport, a major air transportation hub serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
-
B.
KMSKB
KMSKB is the commonly used abbreviation for the Royal Museums of Fine Arts of Belgium, a major art museum complex in Brussels renowned for its extensive collection of Belgian and European art.
-
C.
KMCE
KMCE is the ICAO airport code for Merced Regional Airport, a public airport serving Merced, California.
-
D.
KMSKA
KMSKA is the Royal Museum of Fine Arts in Antwerp, renowned for its extensive collection of Flemish and Belgian art spanning several centuries.
-
E.
KM
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73333dc4081909faa40c10bce2735 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566352608190ab15e3a4b690c9a5 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.