Triple
T7389040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Busan |
E170452
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ABL
ABL is the ICAO airline designator assigned to Air Busan, a South Korean low-cost carrier based in Busan.
|
E660848
|
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: ABL | Statement: [Air Busan, ICAOcode, ABL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABL Context triple: [Air Busan, ICAOcode, ABL]
-
A.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
B.
ABL
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
-
C.
ABL
ABL was a short-lived professional American basketball league that operated in the mid-1940s, preceding the formation of the NBA.
-
D.
ABCL
ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
-
E.
ARB
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
- 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: ABL Triple: [Air Busan, ICAOcode, ABL]
Generated description
ABL is the ICAO airline designator assigned to Air Busan, a South Korean low-cost carrier based in Busan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABL Target entity description: ABL is the ICAO airline designator assigned to Air Busan, a South Korean low-cost carrier based in Busan.
-
A.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
B.
ABL
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
-
C.
ABL
ABL was a short-lived professional American basketball league that operated in the mid-1940s, preceding the formation of the NBA.
-
D.
ABCL
ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
-
E.
ARB
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f512d881908056bdb88a58bea4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e71bfc8190b45eb951c0311fce |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8038127408190947cb7002ccc0dec |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8040a40088190b37192429678fd3e |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:09 p.m.