Triple

T528026
Position Surface form Disambiguated ID Type / Status
Subject Lysgårdsbakken E10966 entity
Predicate hasComponent P35 FINISHED
Object K-123 hill
K-123 hill is the large ski jumping hill at the Lysgårdsbakken ski jumping arena in Lillehammer, Norway, used for major international competitions.
 E65744 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: K-123 hill | Statement: [Lysgårdsbakken, hasComponent, K-123 hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-123 hill
Context triple: [Lysgårdsbakken, hasComponent, K-123 hill]
  • A. Murahwa Hill
    Murahwa Hill is a prominent historical and archaeological site near Mutare, Zimbabwe, known for its ancient rock shelters, rock art, and cultural significance to local communities.
  • B. Science Hill
    Science Hill is a major academic area of Yale University that houses many of the university’s science departments, laboratories, and research facilities.
  • C. Brewster Hill
    Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
  • D. Snake Hill
    Snake Hill is a prominent hill in Wuhan, China, known as the historic site on which the famous Yellow Crane Tower stands.
  • E. Redding Ridge
    Redding Ridge is a small village and residential community within the town of Redding in Fairfield County, Connecticut.
  • 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: K-123 hill
Triple: [Lysgårdsbakken, hasComponent, K-123 hill]
Generated description
K-123 hill is the large ski jumping hill at the Lysgårdsbakken ski jumping arena in Lillehammer, Norway, used for major international competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-123 hill
Target entity description: K-123 hill is the large ski jumping hill at the Lysgårdsbakken ski jumping arena in Lillehammer, Norway, used for major international competitions.
  • A. Murahwa Hill
    Murahwa Hill is a prominent historical and archaeological site near Mutare, Zimbabwe, known for its ancient rock shelters, rock art, and cultural significance to local communities.
  • B. Science Hill
    Science Hill is a major academic area of Yale University that houses many of the university’s science departments, laboratories, and research facilities.
  • C. Brewster Hill
    Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
  • D. Snake Hill
    Snake Hill is a prominent hill in Wuhan, China, known as the historic site on which the famous Yellow Crane Tower stands.
  • E. Redding Ridge
    Redding Ridge is a small village and residential community within the town of Redding in Fairfield County, Connecticut.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b242a1d48190a0a7015d5fc82860 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b39f75048190a5f5f18756f75a81 completed March 1, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69a4b42eb7d88190ab013625d75a093b completed March 1, 2026, 9:48 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.