Triple

T4931712
Position Surface form Disambiguated ID Type / Status
Subject Porrentruy E110710 entity
Predicate twinnedWith P1072 FINISHED
Object Riorges
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
 E482756 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: Riorges | Statement: [Porrentruy, twinnedWith, Riorges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riorges
Context triple: [Porrentruy, twinnedWith, Riorges]
  • A. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • B. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • C. Vivarois
    Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Aigues-Mortais
    Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
  • 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: Riorges
Triple: [Porrentruy, twinnedWith, Riorges]
Generated description
Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riorges
Target entity description: Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • A. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • B. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • C. Vivarois
    Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Aigues-Mortais
    Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c5f8ec8190834c624bae17adff completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be845a59a881909d69ea10d0563b5a completed March 21, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69be84ea51288190bb72fd95a7e4f9d4 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:30 p.m.