Triple
T18374579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Aerospace Industries |
E446277
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KAI
KAI is South Korea’s leading aerospace and defense company, known for developing and manufacturing military and civilian aircraft, helicopters, and space systems.
|
E1321324
|
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: KAI | Statement: [Korea Aerospace Industries, shortName, KAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAI Context triple: [Korea Aerospace Industries, shortName, KAI]
-
A.
KAI Access
KAI Access is the official mobile ticketing application of Indonesia’s national railway company, enabling users to search, book, and manage train journeys digitally.
-
B.
KAI network
KAI network is the national railway system of Indonesia operated by Kereta Api Indonesia, encompassing passenger and freight rail services across the country.
-
C.
KAL
KAL is the standard abbreviation used for the Kalamazoo Growlers baseball team.
-
D.
KAL
KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
-
E.
KAIK
KAIK is the ICAO airport code for Aiken Regional Airport, a public airport serving Aiken, South Carolina, USA.
- 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: KAI Triple: [Korea Aerospace Industries, shortName, KAI]
Generated description
KAI is South Korea’s leading aerospace and defense company, known for developing and manufacturing military and civilian aircraft, helicopters, and space systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAI Target entity description: KAI is South Korea’s leading aerospace and defense company, known for developing and manufacturing military and civilian aircraft, helicopters, and space systems.
-
A.
KAI Access
KAI Access is the official mobile ticketing application of Indonesia’s national railway company, enabling users to search, book, and manage train journeys digitally.
-
B.
KAI network
KAI network is the national railway system of Indonesia operated by Kereta Api Indonesia, encompassing passenger and freight rail services across the country.
-
C.
KAL
KAL is the standard abbreviation used for the Kalamazoo Growlers baseball team.
-
D.
KAL
KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
-
E.
KAIK
KAIK is the ICAO airport code for Aiken Regional Airport, a public airport serving Aiken, South Carolina, USA.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51757a75c8190814db973ae1a86cd |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77c78308190823a35ec21fd92d7 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8857ba081909a1bee74530523d0 |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03da59c1b081908d9488233c611586 |
completed | May 13, 2026, 1:56 a.m. |
Created at: April 10, 2026, 10:45 a.m.