Triple
T4376853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothenburg Landvetter Airport |
E99027
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GOT
GOT is the three-letter IATA airport code for Gothenburg Landvetter Airport, the main international airport serving Gothenburg, Sweden.
|
E435618
|
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: GOT | Statement: [Gothenburg Landvetter Airport, IATAcode, GOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOT Context triple: [Gothenburg Landvetter Airport, IATAcode, GOT]
-
A.
Squid Game
Squid Game is a South Korean survival drama television series that follows cash-strapped contestants who risk their lives in deadly versions of children's games for a massive cash prize.
-
B.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
-
C.
Gwangandaegyo
Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
-
D.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
E.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
- 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: GOT Triple: [Gothenburg Landvetter Airport, IATAcode, GOT]
Generated description
GOT is the three-letter IATA airport code for Gothenburg Landvetter Airport, the main international airport serving Gothenburg, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GOT Target entity description: GOT is the three-letter IATA airport code for Gothenburg Landvetter Airport, the main international airport serving Gothenburg, Sweden.
-
A.
Squid Game
Squid Game is a South Korean survival drama television series that follows cash-strapped contestants who risk their lives in deadly versions of children's games for a massive cash prize.
-
B.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
-
C.
Gwangandaegyo
Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
-
D.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
E.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e51907688190ad964d341eb84529 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5d675808190a5a9767f253f0178 |
completed | March 14, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e66837e081908ac5a0079485cd18 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:18 p.m.