Triple
T6475470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Gardno |
E146059
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Łupawa River |
E612919
|
NE FINISHED |
How this triple was built (2 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: Łupawa River | Statement: [Lake Gardno, outflow, Łupawa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łupawa River Context triple: [Lake Gardno, outflow, Łupawa River]
-
A.
Łupawa River
chosen
The Łupawa River is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea, passing through and draining Lake Gardno along its course.
-
B.
Drwęca River
The Drwęca River is a river in northern Poland that flows through the Warmian-Masurian and Kuyavian-Pomeranian regions before joining the Vistula.
-
C.
Łomnica River
The Łomnica River is a mountain river in the Krkonoše range of Central Europe, known for its fast-flowing course and role in draining the surrounding highland terrain.
-
D.
Muszynka River
The Muszynka River is a small river in southern Poland that flows through the spa town of Muszyna before joining the Poprad River near the Slovak border.
-
E.
Sokołówka River
The Sokołówka River is a small urban watercourse flowing through the city of Łódź in central Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7488992c48190a59b277f65cd0b36 |
completed | March 28, 2026, 3:18 a.m. |
Created at: March 22, 2026, 4:50 p.m.