Triple
T5729062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beskid Wyspowy |
E126336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Śnieżnica
Śnieżnica is a mountain peak in southern Poland, located in the Beskid Wyspowy range and popular for hiking and winter sports.
|
E540448
|
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: Śnieżnica | Statement: [Beskid Wyspowy, contains, Śnieżnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śnieżnica Context triple: [Beskid Wyspowy, contains, Śnieżnica]
-
A.
Śnieżka
Śnieżka is a prominent mountain peak on the border of Poland and the Czech Republic, renowned as the tallest summit in the Sudetes range and a popular hiking destination.
-
B.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
C.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
D.
Zima
Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
-
E.
Oszmiana
Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
- 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: Śnieżnica Triple: [Beskid Wyspowy, contains, Śnieżnica]
Generated description
Śnieżnica is a mountain peak in southern Poland, located in the Beskid Wyspowy range and popular for hiking and winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Śnieżnica Target entity description: Śnieżnica is a mountain peak in southern Poland, located in the Beskid Wyspowy range and popular for hiking and winter sports.
-
A.
Śnieżka
Śnieżka is a prominent mountain peak on the border of Poland and the Czech Republic, renowned as the tallest summit in the Sudetes range and a popular hiking destination.
-
B.
Blizne
Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
-
C.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
D.
Zima
Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
-
E.
Oszmiana
Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250d5f4c8190a36b43ef5e6c7837 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8cca748190b471c842fd2ce218 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05b7c3bd48190ad8303bf1bb3ec6a |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c22c31081909a9a67d99e7c728c |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:47 p.m.