Triple

T3840088
Position Surface form Disambiguated ID Type / Status
Subject Loire-Atlantique E93428 entity
Predicate containsCity P294 FINISHED
Object Redon
Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
 E393208 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: Redon | Statement: [Loire-Atlantique, containsCity, Redon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Redon
Context triple: [Loire-Atlantique, containsCity, Redon]
  • A. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • B. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • 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: Redon
Triple: [Loire-Atlantique, containsCity, Redon]
Generated description
Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Redon
Target entity description: Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
  • A. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • B. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • E. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040a8b808190874ad1a5152adf1f completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504b2ba748190af2df2a318ab0693 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b50534242c8190a1d4658e7896c2be completed March 14, 2026, 6:50 a.m.
Created at: March 9, 2026, 3:18 p.m.