Triple

T9290950
Position Surface form Disambiguated ID Type / Status
Subject Cambrésis E223513 entity
Predicate contains P35 FINISHED
Object Caudry
Caudry is a French town in the Nord department, historically known as a center of lace and textile production.
 E790687 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: Caudry | Statement: [Cambrésis, contains, Caudry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caudry
Context triple: [Cambrésis, contains, Caudry]
  • A. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Rendeux
    Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
  • D. Crevant-Laveine
    Crevant-Laveine is a small commune in central France’s Puy-de-Dôme department, characterized by its rural setting and traditional Auvergne landscape.
  • E. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • 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: Caudry
Triple: [Cambrésis, contains, Caudry]
Generated description
Caudry is a French town in the Nord department, historically known as a center of lace and textile production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caudry
Target entity description: Caudry is a French town in the Nord department, historically known as a center of lace and textile production.
  • A. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • B. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • C. Rendeux
    Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
  • D. Crevant-Laveine
    Crevant-Laveine is a small commune in central France’s Puy-de-Dôme department, characterized by its rural setting and traditional Auvergne landscape.
  • E. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2381e2c8190acbecf97dea1200c completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b3a2b6f481908b0528f6fa67535b completed April 4, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69d0b7944adc819080b3a90878dd7203 completed April 4, 2026, 7:02 a.m.
Created at: March 30, 2026, 7:35 p.m.