Triple
T17162882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielany |
E416525
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Las Bielański
Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
|
E1253559
|
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: Las Bielański | Statement: [Bielany, contains, Las Bielański]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Bielański Context triple: [Bielany, contains, Las Bielański]
-
A.
Bielecki
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
-
B.
Daszyński
Daszyński is a Polish surname most notably associated with Ignacy Daszyński, a prominent socialist politician and early leader in independent Poland.
-
C.
Wasilewski
Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
-
D.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
E.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
- 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: Las Bielański Triple: [Bielany, contains, Las Bielański]
Generated description
Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Las Bielański Target entity description: Las Bielański is a historic forest and nature reserve in Warsaw, Poland, known for its rich biodiversity and popular recreational paths.
-
A.
Bielecki
Bielecki is a Polish surname borne by various notable individuals across fields such as politics, sports, and mountaineering.
-
B.
Daszyński
Daszyński is a Polish surname most notably associated with Ignacy Daszyński, a prominent socialist politician and early leader in independent Poland.
-
C.
Wasilewski
Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
-
D.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
E.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a01495169d4819093962a3b4a97c47a |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0149be8b888190bab95b612aad590a |
completed | May 11, 2026, 3:15 a.m. |
Created at: April 10, 2026, 5:37 a.m.