Triple

T6864629
Position Surface form Disambiguated ID Type / Status
Subject Glico E158366 entity
Predicate notableProduct P1448 FINISHED
Object Collon
Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
 E623313 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: Collon | Statement: [Glico, notableProduct, Collon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Collon
Context triple: [Glico, notableProduct, Collon]
  • A. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • B. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • C. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • D. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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: Collon
Triple: [Glico, notableProduct, Collon]
Generated description
Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Collon
Target entity description: Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
  • A. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • B. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • C. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • D. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d88af6d88190ac9faa32fa1bfa0e completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72ff153d48190a4b0d4e403457fe8 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c730e882308190a3fbc61245941338 completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c7316a9cc081908c088725cb7626e8 completed March 28, 2026, 1:39 a.m.
Created at: March 27, 2026, 2:21 p.m.