Triple
T7146683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karkonosze |
E166586
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Szrenica
Szrenica is a prominent mountain peak in the Karkonosze range of the Sudetes on the Polish–Czech border, known for its hiking trails and ski resort facilities.
|
E645995
|
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: Szrenica | Statement: [Karkonosze, hasPeak, Szrenica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szrenica Context triple: [Karkonosze, hasPeak, Szrenica]
-
A.
Šavnik
Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
-
B.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
C.
Silnica
Silnica is a small river in south-central Poland that flows through the city of Kielce and forms part of its urban landscape.
-
D.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
E.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
- 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: Szrenica Triple: [Karkonosze, hasPeak, Szrenica]
Generated description
Szrenica is a prominent mountain peak in the Karkonosze range of the Sudetes on the Polish–Czech border, known for its hiking trails and ski resort facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Szrenica Target entity description: Szrenica is a prominent mountain peak in the Karkonosze range of the Sudetes on the Polish–Czech border, known for its hiking trails and ski resort facilities.
-
A.
Šavnik
Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
-
B.
Bednja
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
C.
Silnica
Silnica is a small river in south-central Poland that flows through the city of Kielce and forms part of its urban landscape.
-
D.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
E.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
- 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.