Triple
T9508280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engelberg |
E229325
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Brunni
Brunni is a popular alpine area and ski resort in the Engelberg region of central Switzerland, known for its scenic hiking trails and family-friendly winter sports.
|
E804210
|
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: Brunni | Statement: [Engelberg, hasMountain, Brunni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunni Context triple: [Engelberg, hasMountain, Brunni]
-
A.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
B.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
C.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
D.
Püppi
Püppi was the nickname of Gudrun Himmler, the daughter of Heinrich Himmler, who became known for her lifelong loyalty to her father's Nazi legacy.
-
E.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
- 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: Brunni Triple: [Engelberg, hasMountain, Brunni]
Generated description
Brunni is a popular alpine area and ski resort in the Engelberg region of central Switzerland, known for its scenic hiking trails and family-friendly winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brunni Target entity description: Brunni is a popular alpine area and ski resort in the Engelberg region of central Switzerland, known for its scenic hiking trails and family-friendly winter sports.
-
A.
Guga
Guga is the popular nickname of Brazilian former tennis star Gustavo Kuerten, a three-time French Open champion known for his charismatic personality and clay-court prowess.
-
B.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
C.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
D.
Püppi
Püppi was the nickname of Gudrun Himmler, the daughter of Heinrich Himmler, who became known for her lifelong loyalty to her father's Nazi legacy.
-
E.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9855c5e48190a7d8d39b6d601679 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a2b34948190826b1f58258a4f54 |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13bc8ce4081909a58db4014f2748d |
completed | April 4, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13c58beb08190ab41485bc7dd9b6d |
completed | April 4, 2026, 4:29 p.m. |
Created at: March 30, 2026, 7:57 p.m.