Triple
T7071041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorce Mountains |
E164694
|
entity |
| Predicate | notablePeak |
P20909
|
FINISHED |
| Object |
Lubań
Lubań is a prominent peak in Poland’s Gorce Mountains, known for its scenic views and popular hiking trails.
|
E643060
|
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: Lubań | Statement: [Gorce Mountains, notablePeak, Lubań]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubań Context triple: [Gorce Mountains, notablePeak, Lubań]
-
A.
Lithuania Minor
Lithuania Minor is a historical region of Lithuania that once formed part of East Prussia and is known for its distinct cultural and linguistic heritage within the broader Lithuanian lands.
-
B.
Polón
Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
-
C.
Dzūkija
Dzūkija is a historical ethnographic region in southeastern Lithuania known for its extensive forests, traditional rural culture, and distinctive dialect.
-
D.
Libiąż
Libiąż is a town in southern Poland located in the Lesser Poland Voivodeship, known historically for its coal mining industry.
-
E.
Polonia
Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
- 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: Lubań Triple: [Gorce Mountains, notablePeak, Lubań]
Generated description
Lubań is a prominent peak in Poland’s Gorce Mountains, known for its scenic views and popular hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubań Target entity description: Lubań is a prominent peak in Poland’s Gorce Mountains, known for its scenic views and popular hiking trails.
-
A.
Lithuania Minor
Lithuania Minor is a historical region of Lithuania that once formed part of East Prussia and is known for its distinct cultural and linguistic heritage within the broader Lithuanian lands.
-
B.
Polón
Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
-
C.
Dzūkija
Dzūkija is a historical ethnographic region in southeastern Lithuania known for its extensive forests, traditional rural culture, and distinctive dialect.
-
D.
Libiąż
Libiąż is a town in southern Poland located in the Lesser Poland Voivodeship, known historically for its coal mining industry.
-
E.
Polonia
Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31a43b481908e535afc393b242a |
completed | March 28, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69c7a3e11f648190adf7210cee954c3d |
completed | March 28, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a428dd048190a846bfb6d10b60e7 |
completed | March 28, 2026, 9:49 a.m. |
Created at: March 27, 2026, 2:39 p.m.