Triple
T6613159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian Voivodeship |
E149284
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Knurów
Knurów is a town in southern Poland known for its coal mining industry and location within the Upper Silesian urban area.
|
E607775
|
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: Knurów | Statement: [Silesian Voivodeship, containsCity, Knurów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knurów Context triple: [Silesian Voivodeship, containsCity, Knurów]
-
A.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
B.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
C.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
-
D.
Krzeszowice
Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
-
E.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
- 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: Knurów Triple: [Silesian Voivodeship, containsCity, Knurów]
Generated description
Knurów is a town in southern Poland known for its coal mining industry and location within the Upper Silesian urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knurów Target entity description: Knurów is a town in southern Poland known for its coal mining industry and location within the Upper Silesian urban area.
-
A.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
B.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
C.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
-
D.
Krzeszowice
Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
-
E.
Dzierżoniów
Dzierżoniów is a town in southwestern Poland known for its historical architecture and location in the Lower Silesian region.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44154a08190b031bb74624fba1e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e61218c4819084c170611077f0e6 |
completed | March 27, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e7cc21548190b302e2e31f9cadd0 |
completed | March 27, 2026, 8:25 p.m. |
Created at: March 27, 2026, 1:57 p.m.