Triple
T21514415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vistula Spit canal (Poland) |
E530806
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Przebrno
Przebrno is a small Polish coastal settlement located on the Vistula Spit along the Baltic Sea.
|
E1503719
|
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: Przebrno | Statement: [Vistula Spit canal (Poland), nearSettlement, Przebrno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Przebrno Context triple: [Vistula Spit canal (Poland), nearSettlement, Przebrno]
-
A.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
B.
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.
-
C.
Brdy
Brdy is a forested mountain range in the Central Bohemian Region of the Czech Republic, known for its rolling hills, former military areas, and extensive hiking and cycling trails.
-
D.
Ostrava
Ostrava is a major industrial and cultural city in the northeastern Czech Republic, near the borders with Poland and Slovakia.
-
E.
Kroměříž
Kroměříž is a historic town in the Czech Republic known for its UNESCO-listed Archbishop’s Chateau and Baroque gardens.
- 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: Przebrno Triple: [Vistula Spit canal (Poland), nearSettlement, Przebrno]
Generated description
Przebrno is a small Polish coastal settlement located on the Vistula Spit along the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Przebrno Target entity description: Przebrno is a small Polish coastal settlement located on the Vistula Spit along the Baltic Sea.
-
A.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
B.
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.
-
C.
Brdy
Brdy is a forested mountain range in the Central Bohemian Region of the Czech Republic, known for its rolling hills, former military areas, and extensive hiking and cycling trails.
-
D.
Ostrava
Ostrava is a major industrial and cultural city in the northeastern Czech Republic, near the borders with Poland and Slovakia.
-
E.
Kroměříž
Kroměříž is a historic town in the Czech Republic known for its UNESCO-listed Archbishop’s Chateau and Baroque gardens.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea89b6e48190ac4ea139b895714f |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45cbbb2c8190b67378ab29fde27b |
completed | May 17, 2026, 10:48 p.m. |
| NEDg | Description generation | batch_6a0a47a0bd188190b6117cadf12c9ade |
completed | May 17, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a480539b4819097630614b857d7d3 |
completed | May 17, 2026, 10:58 p.m. |
Created at: April 16, 2026, 6:25 p.m.