Triple
T19626015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeju Air |
E471136
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
JJA
JJA is the ICAO airline designator assigned to Jeju Air, a South Korean low-cost carrier based on Jeju Island.
|
E1386586
|
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: JJA | Statement: [Jeju Air, ICAOcode, JJA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JJA Context triple: [Jeju Air, ICAOcode, JJA]
-
A.
JJP
JJP is the ICAO airline designator used to identify Jetstar Japan in international aviation operations.
-
B.
JJC
JJC is the commonly used abbreviation for Joliet Junior College, a public community college in Joliet, Illinois recognized as the nation’s first public community college.
-
C.
JJN
JJN is the IATA airport code for Quanzhou Jinjiang International Airport, a regional airport serving Quanzhou and the surrounding area in Fujian, China.
-
D.
JJ
JJ is one of the central protagonists in Nick Hornby’s novel "A Long Way Down," a disillusioned American musician whose failed career and personal struggles lead him to contemplate suicide alongside three other strangers.
-
E.
JJ
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
- 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: JJA Triple: [Jeju Air, ICAOcode, JJA]
Generated description
JJA is the ICAO airline designator assigned to Jeju Air, a South Korean low-cost carrier based on Jeju Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JJA Target entity description: JJA is the ICAO airline designator assigned to Jeju Air, a South Korean low-cost carrier based on Jeju Island.
-
A.
JJP
JJP is the ICAO airline designator used to identify Jetstar Japan in international aviation operations.
-
B.
JJC
JJC is the commonly used abbreviation for Joliet Junior College, a public community college in Joliet, Illinois recognized as the nation’s first public community college.
-
C.
JJN
JJN is the IATA airport code for Quanzhou Jinjiang International Airport, a regional airport serving Quanzhou and the surrounding area in Fujian, China.
-
D.
JJ
JJ is one of the central protagonists in Nick Hornby’s novel "A Long Way Down," a disillusioned American musician whose failed career and personal struggles lead him to contemplate suicide alongside three other strangers.
-
E.
JJ
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e9ff208190afb33c910ed2147b |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771bf2698819097690821e66b0d6a |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07736d8990819081b3ba34f1d3600e |
completed | May 15, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773f9f8148190822ed74d83fdac97 |
completed | May 15, 2026, 7:28 p.m. |
Created at: April 10, 2026, 1:44 p.m.