Triple
T6704151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oświęcim County |
E152956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brzeszcze |
E478269
|
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: Brzeszcze | Statement: [Oświęcim County, contains, Brzeszcze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brzeszcze Context triple: [Oświęcim County, contains, Brzeszcze]
-
A.
Brzeszcze
chosen
Brzeszcze is a small town in southern Poland, known in part as the longtime home of former Polish Prime Minister Beata Szydło.
-
B.
Brzeżany
Brzeżany is a historic town in present-day western Ukraine, formerly part of Poland, known for its multicultural heritage and notable residents such as Marshal Eduard Rydz-Śmigły.
-
C.
Zbrosławice
Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian Voivodeship.
-
D.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
E.
Krzeszowice
Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e919748190953d893eb61724e7 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d5a92795cc819087578d02c2c791e4 |
completed | April 8, 2026, 1:02 a.m. |
Created at: March 27, 2026, 2:06 p.m.