Triple
T2830879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lublin Voivodeship |
E62231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Janów Lubelski
Janów Lubelski is a small town in eastern Poland known for its surrounding forests, lakes, and role as a local administrative and tourist center.
|
E469589
|
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: Janów Lubelski | Statement: [Lublin Voivodeship, contains, Janów Lubelski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janów Lubelski Context triple: [Lublin Voivodeship, contains, Janów Lubelski]
-
A.
Jaworzno
Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
-
B.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
C.
Inowrocław
Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
-
D.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
E.
Jędrzejów
Jędrzejów is a historic town in south-central Poland known for its Cistercian monastery and regional cultural significance.
- 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: Janów Lubelski Triple: [Lublin Voivodeship, contains, Janów Lubelski]
Generated description
Janów Lubelski is a small town in eastern Poland known for its surrounding forests, lakes, and role as a local administrative and tourist center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janów Lubelski Target entity description: Janów Lubelski is a small town in eastern Poland known for its surrounding forests, lakes, and role as a local administrative and tourist center.
-
A.
Jaworzno
Jaworzno is a city in southern Poland, located in the Silesian Voivodeship and known for its industrial heritage and role in the Upper Silesian urban area.
-
B.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
-
C.
Inowrocław
Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
-
D.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
E.
Jędrzejów
Jędrzejów is a historic town in south-central Poland known for its Cistercian monastery and regional cultural significance.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43705d708190abea669829ef2970 |
completed | March 21, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69be4544ebe88190a2391484ac3ab18d |
completed | March 21, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45bc7b2c8190aa293d2c10077864 |
completed | March 21, 2026, 7:16 a.m. |
Created at: March 6, 2026, 10:01 p.m.