Triple
T18194421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torslanda Airport |
E435620
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | GOT |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Torslanda Airport, IATAcode, GOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOT Context triple: [Torslanda Airport, IATAcode, GOT]
-
A.
GOT
chosen
GOT is the three-letter IATA airport code for Gothenburg Landvetter Airport, the main international airport serving Gothenburg, Sweden.
-
B.
Kohan
Kohan is a surname most prominently associated with American television writer and producer Jenji Kohan, known for creating the series "Weeds" and "Orange Is the New Black."
-
C.
Taegukgi
Taegukgi is the national flag of South Korea, symbolizing balance, harmony, and the Korean people's identity and independence.
-
D.
Guklib Doseogwan
Guklib Doseogwan is the National Library of Korea, serving as the country’s central repository for published materials and a major hub for research and cultural preservation.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.