Triple

T13813054
Position Surface form Disambiguated ID Type / Status
Subject Rogge E331942 entity
Predicate hasVariantSpelling P457 FINISHED
Object Roggé
Roggé is a surname of likely European origin, used as a variant spelling of the name Rogge.
E1063534 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: Roggé | Statement: [Rogge, hasVariantSpelling, Roggé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roggé
Context triple: [Rogge, hasVariantSpelling, Roggé]
  • A. Rognon
    Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
  • B. Kalsoy
    Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
  • C. Hörnle
    Hörnle is a mountain peak in the Ammergau Alps of Bavaria, Germany, popular for hiking and panoramic alpine views.
  • D. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • E. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • 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: Roggé
Triple: [Rogge, hasVariantSpelling, Roggé]
Generated description
Roggé is a surname of likely European origin, used as a variant spelling of the name Rogge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roggé
Target entity description: Roggé is a surname of likely European origin, used as a variant spelling of the name Rogge.
  • A. Rognon
    Rognon is a river in northeastern France that flows through the Haute-Marne department and serves as a tributary within the Marne river basin.
  • B. Kalsoy
    Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
  • C. Hörnle
    Hörnle is a mountain peak in the Ammergau Alps of Bavaria, Germany, popular for hiking and panoramic alpine views.
  • D. Guthega
    Guthega is a small alpine village and ski area in New South Wales, Australia, located within the Snowy Mountains and known for its access to snow sports and the nearby Guthega Dam.
  • E. Gullaug
    Gullaug is a small settlement in the municipality of Lier in Viken county, Norway, known for its residential character and proximity to the Drammen region.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b974fce88190ace5030555b7b5f1 completed May 3, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba99ad9c8190906b6b63cf27a446 completed May 3, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:12 p.m.