Triple
T11854060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noteć |
E281986
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Noteć Dolna
Noteć Dolna is the lower course and surrounding valley region of the Noteć River in north-central Poland, known for its wetlands and agricultural landscapes.
|
E948959
|
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: Noteć Dolna | Statement: [Noteć, hasPart, Noteć Dolna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noteć Dolna Context triple: [Noteć, hasPart, Noteć Dolna]
-
A.
Ochotnica Dolna
Ochotnica Dolna is a village and rural municipality in southern Poland, situated in the Lesser Poland Voivodeship within the Gorce Mountains.
-
B.
Czarna Dolna
Czarna Dolna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
-
C.
Dolina Tomanowa
Dolina Tomanowa is a picturesque side valley in the Tatra Mountains of southern Poland, known for its scenic hiking trails and alpine landscapes.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
- 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: Noteć Dolna Triple: [Noteć, hasPart, Noteć Dolna]
Generated description
Noteć Dolna is the lower course and surrounding valley region of the Noteć River in north-central Poland, known for its wetlands and agricultural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noteć Dolna Target entity description: Noteć Dolna is the lower course and surrounding valley region of the Noteć River in north-central Poland, known for its wetlands and agricultural landscapes.
-
A.
Ochotnica Dolna
Ochotnica Dolna is a village and rural municipality in southern Poland, situated in the Lesser Poland Voivodeship within the Gorce Mountains.
-
B.
Czarna Dolna
Czarna Dolna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
-
C.
Dolina Tomanowa
Dolina Tomanowa is a picturesque side valley in the Tatra Mountains of southern Poland, known for its scenic hiking trails and alpine landscapes.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
- 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_69f167c9d4e88190bfaadada0450e639 |
completed | April 29, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69f17006e6108190b51b20ddf6d2368c |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17819af5c8190a98db3cd8eff8da2 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.