Triple
T7400142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian Beskids |
E170725
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Czantoria Wielka
Czantoria Wielka is a prominent mountain peak on the Polish–Czech border, popular for hiking, skiing, and scenic views within the Silesian Beskids range.
|
E662227
|
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: Czantoria Wielka | Statement: [Silesian Beskids, hasPeak, Czantoria Wielka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czantoria Wielka Context triple: [Silesian Beskids, hasPeak, Czantoria Wielka]
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Wielka Krokiew
Wielka Krokiew is a major ski jumping hill in Zakopane, Poland, known for hosting prominent international ski jumping competitions.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
E.
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.
- 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: Czantoria Wielka Triple: [Silesian Beskids, hasPeak, Czantoria Wielka]
Generated description
Czantoria Wielka is a prominent mountain peak on the Polish–Czech border, popular for hiking, skiing, and scenic views within the Silesian Beskids range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Czantoria Wielka Target entity description: Czantoria Wielka is a prominent mountain peak on the Polish–Czech border, popular for hiking, skiing, and scenic views within the Silesian Beskids range.
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Wielka Krokiew
Wielka Krokiew is a major ski jumping hill in Zakopane, Poland, known for hosting prominent international ski jumping competitions.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
Ciecere
Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta River.
-
E.
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.
- 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_69c8110b6ffc819080f65c590f6ac156 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c811c9c5e48190a610d890780c7aa4 |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8128e49948190822787e76b1663a6 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 3:10 p.m.