Triple
T7400137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian Beskids |
E170725
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
|
E899472
|
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: Skrzyczne | Statement: [Silesian Beskids, highestPoint, Skrzyczne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skrzyczne Context triple: [Silesian Beskids, highestPoint, Skrzyczne]
-
A.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
B.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
C.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
D.
Szczucin
Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
-
E.
Skrzyszów
Skrzyszów is a village in southern Poland located in Lesser Poland Voivodeship, known as one of the settlements within Tarnów County.
- 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: Skrzyczne Triple: [Silesian Beskids, highestPoint, Skrzyczne]
Generated description
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skrzyczne Target entity description: Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
-
A.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
B.
Kruszwica
Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
-
C.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
D.
Szczucin
Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
-
E.
Skrzyszów
Skrzyszów is a village in southern Poland located in Lesser Poland Voivodeship, known as one of the settlements within Tarnów County.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24dbf288190b8dfea455148841b |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: March 27, 2026, 3:10 p.m.