Triple

T15596706
Position Surface form Disambiguated ID Type / Status
Subject Bramsche E374909 entity
Predicate hasTwinTown P919 FINISHED
Object Riom
Riom is a historic town in central France’s Auvergne region, known for its preserved medieval architecture and role as a former regional capital.
 E174959 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: Riom | Statement: [Bramsche, hasTwinTown, Riom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riom
Context triple: [Bramsche, hasTwinTown, Riom]
  • A. Riom
    Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
  • B. Barisien
    A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
  • C. Marseille
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • D. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • E. Garches
    Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
  • 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: Riom
Triple: [Bramsche, hasTwinTown, Riom]
Generated description
Riom is a historic town in central France’s Auvergne region, known for its preserved medieval architecture and role as a former regional capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riom
Target entity description: Riom is a historic town in central France’s Auvergne region, known for its preserved medieval architecture and role as a former regional capital.
  • A. Riom chosen
    Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
  • B. Barisien
    A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
  • C. Marseille
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • D. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • E. Garches
    Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
  • F. None of above.

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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f355ff48190a2c2c262c09e6de0 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff603299cc8190ad0eb57d10079651 completed May 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69ff60c6b7e48190a04cb43dcc3bdb39 completed May 9, 2026, 4:28 p.m.
Created at: April 10, 2026, 4:12 a.m.