Triple
T7146686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karkonosze |
E166586
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Śmielec
Śmielec is a mountain peak in the Karkonosze range of the Sudetes on the border between Poland and the Czech Republic.
|
E645996
|
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: Śmielec | Statement: [Karkonosze, hasPeak, Śmielec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śmielec Context triple: [Karkonosze, hasPeak, Śmielec]
-
A.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Śrem
Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
-
D.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
E.
Kiszczak
Kiszczak is a Polish surname most notably associated with Czesław Kiszczak, a communist-era general and interior minister of Poland.
- 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: Śmielec Triple: [Karkonosze, hasPeak, Śmielec]
Generated description
Śmielec is a mountain peak in the Karkonosze range of the Sudetes on the border between Poland and the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Śmielec Target entity description: Śmielec is a mountain peak in the Karkonosze range of the Sudetes on the border between Poland and the Czech Republic.
-
A.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Śrem
Śrem is a town in western Poland known for its historical architecture, industrial activity, and location on the Warta River in the Greater Poland region.
-
D.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
E.
Kiszczak
Kiszczak is a Polish surname most notably associated with Czesław Kiszczak, a communist-era general and interior minister of Poland.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d4f3388190941f03fd80b0c223 |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada12a848190b6e98e0b1a258c17 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7aeb1c59c8190b02fcb731003ad31 |
completed | March 28, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af2ad8a081909185cfd3a3d4e4d0 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:46 p.m.