Triple

T10445615
Position Surface form Disambiguated ID Type / Status
Subject Cloetta E246278 entity
Predicate brand P1500 FINISHED
Object Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
 E864257 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: Malaco | Statement: [Cloetta, brand, Malaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malaco
Context triple: [Cloetta, brand, Malaco]
  • A. Lumaco
    Lumaco is a rural commune and town in Chile’s Araucanía Region, known for its Mapuche heritage and forestry-based economy.
  • B. Manjaco
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • C. Monnina
    Monnina is a genus of flowering plants in the milkwort family, known for its diverse species native primarily to the Americas.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • 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: Malaco
Triple: [Cloetta, brand, Malaco]
Generated description
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malaco
Target entity description: Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
  • A. Lumaco
    Lumaco is a rural commune and town in Chile’s Araucanía Region, known for its Mapuche heritage and forestry-based economy.
  • B. Manjaco
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • C. Monnina
    Monnina is a genus of flowering plants in the milkwort family, known for its diverse species native primarily to the Americas.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.