Triple
T15287618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Środa Śląska County |
E365442
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Środa Śląska |
E1122262
|
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: Środa Śląska | Statement: [Środa Śląska County, seat, Środa Śląska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Środa Śląska Context triple: [Środa Śląska County, seat, Środa Śląska]
-
A.
Środa Śląska
chosen
Środa Śląska is a historic town in southwestern Poland’s Lower Silesian Voivodeship, known for its medieval heritage and location near Wrocław.
-
B.
Ruda Śląska
Ruda Śląska is an industrial city in southern Poland’s Silesian Voivodeship, known for its coal mining heritage and role within the Upper Silesian urban area.
-
C.
Stalowa Wola
Stalowa Wola is an industrial city in southeastern Poland, historically known as a major center of heavy industry and steel production.
-
D.
Wodzisław Śląski
Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
-
E.
Chorzów
Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8982bc881908a33ad27ce0ff091 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.