Triple
T10449776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusatian Neisse |
E246387
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Pieńsk
Pieńsk is a small town in southwestern Poland near the German border, known for its location along the Lusatian Neisse River in the Lower Silesian region.
|
E866095
|
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: Pieńsk | Statement: [Lusatian Neisse, passesNear, Pieńsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieńsk Context triple: [Lusatian Neisse, passesNear, Pieńsk]
-
A.
Pińsk
Pińsk is a historic city in present-day Belarus, known as a cultural and religious center of the Polesia region and formerly part of the eastern borderlands of Poland (Kresy).
-
B.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
C.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
D.
Parczew
Parczew is a small town in eastern Poland known for its historical roots and location within the Lublin region.
-
E.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
- 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: Pieńsk Triple: [Lusatian Neisse, passesNear, Pieńsk]
Generated description
Pieńsk is a small town in southwestern Poland near the German border, known for its location along the Lusatian Neisse River in the Lower Silesian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pieńsk Target entity description: Pieńsk is a small town in southwestern Poland near the German border, known for its location along the Lusatian Neisse River in the Lower Silesian region.
-
A.
Pińsk
Pińsk is a historic city in present-day Belarus, known as a cultural and religious center of the Polesia region and formerly part of the eastern borderlands of Poland (Kresy).
-
B.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
C.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
D.
Parczew
Parczew is a small town in eastern Poland known for its historical roots and location within the Lublin region.
-
E.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fb27f5081909e78bd8029e65948 |
completed | April 10, 2026, 6:58 a.m. |
| NEDg | Description generation | batch_69d8a43ae8a48190b1c05b6a91dfed9a |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8b8fe1b9c8190b5a4787797ad7120 |
completed | April 10, 2026, 8:46 a.m. |
Created at: April 6, 2026, 12:17 p.m.