Triple
T11161068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmian-Masurian Voivodeship |
E264035
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Mrągowo |
E375511
|
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: Mrągowo | Statement: [Warmian-Masurian Voivodeship, containsCity, Mrągowo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrągowo Context triple: [Warmian-Masurian Voivodeship, containsCity, Mrągowo]
-
A.
Mrągowo
chosen
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
B.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
C.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
-
D.
Działdowo
Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
E.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea598fd888190b53ab937bad1d824 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.