Triple
T14819922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Będzin County |
E348420
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Sławków
Sławków is a small historic town in southern Poland known for its medieval origins and location in the Silesian Voivodeship.
|
E1121994
|
NE FINISHED |
How this triple was built (4 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, containsAdministrativeTerritorialEntity, Sławków]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sławków Context triple: [Będzin County, containsAdministrativeTerritorialEntity, Sławków]
-
A.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
B.
Hrubieszów
Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
-
C.
Świętochłowice
Świętochłowice is an industrial city in southern Poland, located in the Upper Silesian metropolitan area.
-
D.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
-
E.
Sławno
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sławków Triple: [Będzin County, containsAdministrativeTerritorialEntity, Sławków]
Generated description
Sławków is a small historic town in southern Poland known for its medieval origins and location in the Silesian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sławków Target entity description: Sławków is a small historic town in southern Poland known for its medieval origins and location in the Silesian Voivodeship.
-
A.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
B.
Hrubieszów
Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
-
C.
Świętochłowice
Świętochłowice is an industrial city in southern Poland, located in the Upper Silesian metropolitan area.
-
D.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
-
E.
Sławno
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
- F. None of above. chosen
Provenance (5 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_69fe389bc06c8190a8269c07677d9c35 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3d5bf82c8190a82ba25856261871 |
completed | May 8, 2026, 7:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3df82ba48190a4c721d56fe36f2c |
completed | May 8, 2026, 7:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.