Triple
T22753086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zbigniew Religa |
E562758
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Zabrze, Poland |
—
|
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: Zabrze, Poland | Statement: [Zbigniew Religa, workLocation, Zabrze, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabrze, Poland Context triple: [Zbigniew Religa, workLocation, Zabrze, Poland]
-
A.
Zabkowice Slaskie, Poland
Ząbkowice Śląskie is a historic town in southwestern Poland’s Lower Silesia region, known for its medieval architecture and leaning tower.
-
B.
Zabrze
chosen
Zabrze is an industrial city in the Silesian region of southern Poland, historically known for coal mining and heavy industry.
-
C.
Złoczów, Poland
Złoczów, Poland is a town in present-day Ukraine (historically part of Poland) known as the birthplace of Nobel Prize–winning chemist Roald Hoffmann.
-
D.
Żarnowiec, Poland
Żarnowiec, Poland is a small village in northern Poland known for its historic monastery and scenic rural surroundings.
-
E.
Kozienice, Poland
Kozienice is a historic town in east-central Poland known for its location along the Vistula River and proximity to the Kozienice Landscape Park.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179baa85881909140f41f2428cc98 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.