Triple
T21275357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostróda County |
E524373
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Małdyty |
—
|
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: Małdyty | Statement: [Ostróda County, contains, Małdyty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Małdyty Context triple: [Ostróda County, contains, Małdyty]
-
A.
Małdyty
chosen
Małdyty is a village and administrative center in northern Poland, situated in the Warmian-Masurian Voivodeship and known for its proximity to the region’s lakes and forests.
-
B.
Malevole
Malevole is the cynical, sharp-tongued Duke in disguise who drives the darkly satirical intrigue of John Marston’s Jacobean play *The Malcontent*.
-
C.
Redłowo
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
-
D.
Czarna Łada
Czarna Łada is a river in southeastern Poland that flows through the town of Biłgoraj and forms part of the local drainage system of the region.
-
E.
Krzywy Domek
Krzywy Domek is a famously surreal, crooked-shaped building in Sopot, Poland, known for its whimsical, fairy-tale architecture and role as a popular tourist attraction.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.