Triple
T20015525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewin Kłodzki cemetery |
E494707
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lewin Kłodzki |
—
|
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: Lewin Kłodzki | Statement: [Lewin Kłodzki cemetery, locatedIn, Lewin Kłodzki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewin Kłodzki Context triple: [Lewin Kłodzki cemetery, locatedIn, Lewin Kłodzki]
-
A.
Lewin Kłodzki
chosen
Lewin Kłodzki is a small town in southwestern Poland, located in the Kłodzko Valley near the Czech border.
-
B.
Lewin Brzeski
Lewin Brzeski is a small town in southwestern Poland known for its location in the historical region of Silesia.
-
C.
Stanislaw Zylewicz
Stanislaw Zylewicz is a Polish film producer best known for his work on Roman Polanski’s acclaimed 1962 psychological drama "Knife in the Water."
-
D.
Maciej Aleksy Dawidowski
Maciej Aleksy Dawidowski was a Polish World War II resistance fighter and member of the Gray Ranks, known for his role in daring underground operations against the Nazi occupation.
-
E.
Rudolf Modrzejewski
Rudolf Modrzejewski, better known as Ralph Modjeski, was a prominent Polish-American civil engineer renowned for designing many major early 20th-century suspension and cantilever bridges in the United States.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623bba1881908440c92f08729ec1 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.