Triple
T11854064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noteć |
E281986
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Czarnków
Czarnków is a historic town in western Poland’s Greater Poland Voivodeship, known for its picturesque setting on the Noteć River and regional brewing traditions.
|
E1175734
|
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: Czarnków | Statement: [Noteć, flowsThrough, Czarnków]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarnków Context triple: [Noteć, flowsThrough, Czarnków]
-
A.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
D.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
E.
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.
- 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: Czarnków Triple: [Noteć, flowsThrough, Czarnków]
Generated description
Czarnków is a historic town in western Poland’s Greater Poland Voivodeship, known for its picturesque setting on the Noteć River and regional brewing traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Czarnków Target entity description: Czarnków is a historic town in western Poland’s Greater Poland Voivodeship, known for its picturesque setting on the Noteć River and regional brewing traditions.
-
A.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Chrzanów
Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
-
D.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
E.
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.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8752207c81908369bce03b56b25e |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b4bbd88819087d62c9d1b647ce0 |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8bf65a948190a1dadfd3b8496c0a |
completed | May 9, 2026, 7:33 p.m. |
Created at: April 8, 2026, 9:43 p.m.