Triple
T5517264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarntal Alps |
E144715
|
entity |
| Predicate | containsPeak |
P8205
|
FINISHED |
| Object |
Sarner Scharte
Sarner Scharte is a mountain peak in the Sarntal Alps of northern Italy, known for its hiking routes and panoramic views over the surrounding alpine landscape.
|
E529635
|
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: Sarner Scharte | Statement: [Sarntal Alps, containsPeak, Sarner Scharte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarner Scharte Context triple: [Sarntal Alps, containsPeak, Sarner Scharte]
-
A.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
-
D.
Meisterschwanden
Meisterschwanden is a municipality in the Swiss canton of Aargau, known for its scenic location near Lake Hallwil and its rural, lakeside character.
-
E.
Nadelhorn
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
- 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: Sarner Scharte Triple: [Sarntal Alps, containsPeak, Sarner Scharte]
Generated description
Sarner Scharte is a mountain peak in the Sarntal Alps of northern Italy, known for its hiking routes and panoramic views over the surrounding alpine landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarner Scharte Target entity description: Sarner Scharte is a mountain peak in the Sarntal Alps of northern Italy, known for its hiking routes and panoramic views over the surrounding alpine landscape.
-
A.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
-
D.
Meisterschwanden
Meisterschwanden is a municipality in the Swiss canton of Aargau, known for its scenic location near Lake Hallwil and its rural, lakeside character.
-
E.
Nadelhorn
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5e8ce08190b7f5f2131bebcd4f |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027dd848481908052007e89c3f634 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c03847b3348190be97b7c5795df368 |
completed | March 22, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e148a0819080a306307e60d437 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:33 p.m.