Triple
T16393756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radmor |
E398123
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Gdynia, Poland |
E12134
|
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: Gdynia, Poland | Statement: [Radmor, basedIn, Gdynia, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gdynia, Poland Context triple: [Radmor, basedIn, Gdynia, Poland]
-
A.
Gdynia
chosen
Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
-
B.
Gdańsk
Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
-
C.
Wrocanka, Poland
Wrocanka, Poland is a small village in southeastern Poland known as the birthplace of former Polish communist leader Stanisław Kania.
-
D.
Tychy, Poland
Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
-
E.
Gdynia metropolitan area
The Gdynia metropolitan area is an urban region in northern Poland centered on the port city of Gdynia, forming part of the broader Tricity conurbation on the Baltic Sea.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326447a7481909feac905edc707ec |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003575e51c8190a8677f658eb73a30 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.