Triple

T12600300
Position Surface form Disambiguated ID Type / Status
Subject Bergisches Land E300838 entity
Predicate traversedByRiver P165 FINISHED
Object Leppe
Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
 E991907 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: Leppe | Statement: [Bergisches Land, traversedByRiver, Leppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leppe
Context triple: [Bergisches Land, traversedByRiver, Leppe]
  • A. Lepe
    Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
  • B. Lepe
    Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • E. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • 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: Leppe
Triple: [Bergisches Land, traversedByRiver, Leppe]
Generated description
Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leppe
Target entity description: Leppe is a small river in western Germany that flows through the hilly Bergisches Land region of North Rhine-Westphalia.
  • A. Lepe
    Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
  • B. Lepe
    Lepe is a small coastal area and country park on the south coast of England, known for its shingle beach, views across the Solent, and historic D-Day embarkation remains.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • E. Kropinski
    Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec92c6c8190bd2d193e70940407 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:09 p.m.