Triple
T13468331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieprz River |
E311561
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Dęblin
Dęblin is a town in eastern Poland known for its strategic location at the confluence of major rivers and its historic military aviation school and air base.
|
E1042694
|
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: Dęblin | Statement: [Wieprz River, flowsNear, Dęblin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dęblin Context triple: [Wieprz River, flowsNear, Dęblin]
-
A.
Dębica
Dębica is a town in southeastern Poland known as the birthplace of renowned composer and conductor Krzysztof Penderecki.
-
B.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
C.
Hrubieszów
Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
-
D.
Cieszyn
Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
-
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: Dęblin Triple: [Wieprz River, flowsNear, Dęblin]
Generated description
Dęblin is a town in eastern Poland known for its strategic location at the confluence of major rivers and its historic military aviation school and air base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dęblin Target entity description: Dęblin is a town in eastern Poland known for its strategic location at the confluence of major rivers and its historic military aviation school and air base.
-
A.
Dębica
Dębica is a town in southeastern Poland known as the birthplace of renowned composer and conductor Krzysztof Penderecki.
-
B.
Dubno
Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
-
C.
Hrubieszów
Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
-
D.
Cieszyn
Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
-
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74629f1408190b54194fe794be39a |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7493168a481908f99283914b39db5 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7499aa5ac8190a93afda115694795 |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.