Triple
T12141973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kościerzyna |
E289205
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | GKS |
E142549
|
NE FINISHED |
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: GKS | Statement: [Kościerzyna, vehicleRegistrationCode, GKS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GKS Context triple: [Kościerzyna, vehicleRegistrationCode, GKS]
-
A.
GKS
chosen
GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
-
B.
GCK
GCK is the three-letter IATA airport code for Garden City Regional Airport in Garden City, Kansas, United States.
-
C.
GKO
GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
-
D.
GDK
GDK is the low-level drawing and windowing system library that underpins GTK, providing an abstraction layer over the underlying graphical system.
-
E.
CGK
CGK is the IATA airport code for Soekarno–Hatta International Airport, the main international gateway serving Jakarta, Indonesia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f692ee048190ab42c92296fd28fb |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.