Triple
T18548735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwyzer Alps |
E453309
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Silberen
Silberen is a mountain in the Schwyzer Alps of central Switzerland, known for its karst landscape and alpine hiking routes.
|
E1330599
|
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: Silberen | Statement: [Schwyzer Alps, contains, Silberen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silberen Context triple: [Schwyzer Alps, contains, Silberen]
-
A.
Silfur
Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
-
B.
Argenta
Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
-
C.
Silberling
Silberling is a surname most notably associated with American film and television director Brad Silberling.
-
D.
Stříbro
Stříbro is a historic town in the western Czech Republic known for its medieval architecture and former silver mining.
-
E.
Silver
Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
- 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: Silberen Triple: [Schwyzer Alps, contains, Silberen]
Generated description
Silberen is a mountain in the Schwyzer Alps of central Switzerland, known for its karst landscape and alpine hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silberen Target entity description: Silberen is a mountain in the Schwyzer Alps of central Switzerland, known for its karst landscape and alpine hiking routes.
-
A.
Silfur
Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
-
B.
Argenta
Argenta is a historic town and municipality in Italy’s Emilia-Romagna region, known for its wetlands, agricultural landscape, and role in World War II.
-
C.
Silberling
Silberling is a surname most notably associated with American film and television director Brad Silberling.
-
D.
Stříbro
Stříbro is a historic town in the western Czech Republic known for its medieval architecture and former silver mining.
-
E.
Silver
Silver is a lustrous, highly conductive precious metal widely used in jewelry, industry, and currency throughout history.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049add8acc8190b00aeae2555ca593 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049bf32520819091b9deaba331f9ca |
completed | May 13, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049ccb59108190870c11bd11949f3b |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:38 a.m.