Triple
T4821579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikołów |
E107720
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Kamionka
Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
|
E475437
|
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: Kamionka | Statement: [Mikołów, hasSubdivision, Kamionka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamionka Context triple: [Mikołów, hasSubdivision, Kamionka]
-
A.
Kaniówka
Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
-
B.
Kromołów
Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
E.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
- 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: Kamionka Triple: [Mikołów, hasSubdivision, Kamionka]
Generated description
Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamionka Target entity description: Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
-
A.
Kaniówka
Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
-
B.
Kromołów
Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
E.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c99b46c8190b6fbcf9f98b9e993 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cb34004819086809b4a7071f4a5 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be607df6648190be22b5bc0d6531b4 |
completed | March 21, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be611da7c08190b644cfbcb30741fc |
completed | March 21, 2026, 9:13 a.m. |
Created at: March 20, 2026, 1:24 p.m.