Triple
T20791829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Air |
E511796
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
MKU
MKU is the ICAO airline designator assigned to Island Air, a former regional carrier based in Hawaii.
|
E1451151
|
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: MKU | Statement: [Island Air, ICAOCode, MKU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MKU Context triple: [Island Air, ICAOCode, MKU]
-
A.
MKU
MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
-
B.
M-K
M-K is the commonly used abbreviation for Morrison-Knudsen, a major American engineering and construction company known for large-scale infrastructure projects.
-
C.
Mkuze
Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
-
D.
MKA
MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
-
E.
MUCU
MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
- 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: MKU Triple: [Island Air, ICAOCode, MKU]
Generated description
MKU is the ICAO airline designator assigned to Island Air, a former regional carrier based in Hawaii.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MKU Target entity description: MKU is the ICAO airline designator assigned to Island Air, a former regional carrier based in Hawaii.
-
A.
MKU
MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
-
B.
M-K
M-K is the commonly used abbreviation for Morrison-Knudsen, a major American engineering and construction company known for large-scale infrastructure projects.
-
C.
Mkuze
Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
-
D.
MKA
MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
-
E.
MUCU
MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8bc76508190b65a105fcd4decd1 |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9c9314c81909052d1a2e93d740a |
completed | May 16, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fa7040d88190b592d4f46249c2c1 |
completed | May 16, 2026, 11:14 p.m. |
Created at: April 16, 2026, 12:38 p.m.