Triple
T11161080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warmian-Masurian Voivodeship |
E264035
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Niegocin
Niegocin is a large, popular recreational lake in northeastern Poland’s Masurian Lake District, known for sailing, water sports, and scenic natural surroundings.
|
E909211
|
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: Niegocin | Statement: [Warmian-Masurian Voivodeship, containsLake, Niegocin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niegocin Context triple: [Warmian-Masurian Voivodeship, containsLake, Niegocin]
-
A.
Nogais
Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
-
B.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
C.
Nietap
Nietap is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the town of Roden.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Pieniężno
Pieniężno is a small town in northern Poland known for its historic architecture and location within the picturesque Warmian-Masurian region.
- 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: Niegocin Triple: [Warmian-Masurian Voivodeship, containsLake, Niegocin]
Generated description
Niegocin is a large, popular recreational lake in northeastern Poland’s Masurian Lake District, known for sailing, water sports, and scenic natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niegocin Target entity description: Niegocin is a large, popular recreational lake in northeastern Poland’s Masurian Lake District, known for sailing, water sports, and scenic natural surroundings.
-
A.
Nogais
Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
-
B.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
C.
Nietap
Nietap is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the town of Roden.
-
D.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
E.
Pieniężno
Pieniężno is a small town in northern Poland known for its historic architecture and location within the picturesque Warmian-Masurian region.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4636268d0819088873f2062115506 |
completed | April 19, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_69e46c374ca08190a876ee68dea9b821 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4747bc02c81908f0782cf85667f3f |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.