Triple
T10243483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bóbr River |
E243656
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Żagań |
E429045
|
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: Żagań | Statement: [Bóbr River, flowsThrough, Żagań]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żagań Context triple: [Bóbr River, flowsThrough, Żagań]
-
A.
Żagań
chosen
Żagań is a town in western Poland known for its historic architecture and its World War II prisoner-of-war camp, Stalag Luft III, site of the “Great Escape.”
-
B.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
C.
Żabno
Żabno is a small town in southern Poland, historically situated in the former Tarnów Voivodeship and known for its local trade and agricultural surroundings.
-
D.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
E.
Złocieniec
Złocieniec is a small town in north-western Poland known for its picturesque lakeside setting and proximity to the Drawsko Landscape Park.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22a76188190a73df23bfb08eb3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 6, 2026, 11:25 a.m.