Triple
T6353618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sławno
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
|
E800272
|
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: Sławno | Statement: [West Pomeranian Voivodeship, containsCity, Sławno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sławno Context triple: [West Pomeranian Voivodeship, containsCity, Sławno]
-
A.
Wodzisław Śląski
Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
-
B.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
C.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
D.
Łowicz
Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
-
E.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
- 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: Sławno Triple: [West Pomeranian Voivodeship, containsCity, Sławno]
Generated description
Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sławno Target entity description: Sławno is a small historic town in northwestern Poland known for its medieval urban layout and location near the Baltic coast.
-
A.
Wodzisław Śląski
Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
-
B.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
C.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
D.
Łowicz
Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
-
E.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121b5cc1c819093109b22acacf98f |
completed | April 4, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 22, 2026, 4:31 p.m.