Triple
T13049786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czersk Piasts |
E327420
|
entity |
| Predicate | centeredIn |
P4751
|
FINISHED |
| Object |
Czersk
Czersk is a town in northern Poland known for its location in the Pomeranian Voivodeship and its historical ties to regional noble lineages.
|
E1236019
|
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: Czersk | Statement: [Czersk Piasts, centeredIn, Czersk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czersk Context triple: [Czersk Piasts, centeredIn, Czersk]
-
A.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
B.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
C.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
D.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
E.
Choszczno
Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
- 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: Czersk Triple: [Czersk Piasts, centeredIn, Czersk]
Generated description
Czersk is a town in northern Poland known for its location in the Pomeranian Voivodeship and its historical ties to regional noble lineages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Czersk Target entity description: Czersk is a town in northern Poland known for its location in the Pomeranian Voivodeship and its historical ties to regional noble lineages.
-
A.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
B.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
C.
Chorobrów
Chorobrów is a village in western Ukraine, historically part of the region of Galicia.
-
D.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
E.
Choszczno
Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00baf8a2648190adf3ad3af118187f |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbb628208190b0be62a333e7e442 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc3a4b888190bd190b9330e2777d |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 9, 2026, 8:57 p.m.