Triple

T13711089
Position Surface form Disambiguated ID Type / Status
Subject Minett region E328772 entity
Predicate hasTown P847 FINISHED
Object Roeser
Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
 E1056589 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: Roeser | Statement: [Minett region, hasTown, Roeser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roeser
Context triple: [Minett region, hasTown, Roeser]
  • A. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • B. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • C. Riedesel
    Riedesel is a German surname historically associated with noble families and notable figures such as military officers and diplomats.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Roesler
    Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
  • 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: Roeser
Triple: [Minett region, hasTown, Roeser]
Generated description
Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roeser
Target entity description: Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
  • A. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • B. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • C. Riedesel
    Riedesel is a German surname historically associated with noble families and notable figures such as military officers and diplomats.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Roesler
    Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d54a68081908df25edf6d5df362 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e1a90408190936cb71e567e10aa completed May 3, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69f79ee74ea48190a4c753b12bb9190e completed May 3, 2026, 7:15 p.m.
Created at: April 9, 2026, 9:54 p.m.