Triple

T8091737
Position Surface form Disambiguated ID Type / Status
Subject Bernese Oberland E188881 entity
Predicate hasMountain P10602 FINISHED
Object Niesen
Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
 E710648 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: Niesen | Statement: [Bernese Oberland, hasMountain, Niesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niesen
Context triple: [Bernese Oberland, hasMountain, Niesen]
  • A. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • B. Graefekiez
    Graefekiez is a popular, village-like neighborhood in Berlin’s Kreuzberg district known for its leafy streets, cafés, and vibrant local culture.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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: Niesen
Triple: [Bernese Oberland, hasMountain, Niesen]
Generated description
Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niesen
Target entity description: Niesen is a prominent pyramid-shaped mountain in the Swiss Alps overlooking Lake Thun in the Bernese Oberland.
  • A. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • B. Graefekiez
    Graefekiez is a popular, village-like neighborhood in Berlin’s Kreuzberg district known for its leafy streets, cafés, and vibrant local culture.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:30 p.m.