Triple
T14819951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Będzin County |
E348420
|
entity |
| Predicate | hasUrbanRuralGmina |
P63972
|
FINISHED |
| Object | Sławków |
E1121994
|
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: Sławków | Statement: [Będzin County, hasUrbanRuralGmina, Sławków]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sławków Context triple: [Będzin County, hasUrbanRuralGmina, Sławków]
-
A.
Sławków
chosen
Sławków is a small historic town in southern Poland known for its medieval origins and location in the Silesian Voivodeship.
-
B.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
C.
Hrubieszów
Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
-
D.
Świętochłowice
Świętochłowice is an industrial city in southern Poland, located in the Upper Silesian metropolitan area.
-
E.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f8b4148190bc24f9a307178419 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:50 a.m.