Triple

T3468120
Position Surface form Disambiguated ID Type / Status
Subject Lavazza E73185 entity
Predicate hasSubsidiary P254 FINISHED
Object Nims
Nims is a company operating under the Italian coffee brand Lavazza, likely involved in coffee-related products or services within its corporate group.
 E361829 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: Nims | Statement: [Lavazza, hasSubsidiary, Nims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nims
Context triple: [Lavazza, hasSubsidiary, Nims]
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • C. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • D. Nimaathap
    Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
  • E. Nimadi
    Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
  • 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: Nims
Triple: [Lavazza, hasSubsidiary, Nims]
Generated description
Nims is a company operating under the Italian coffee brand Lavazza, likely involved in coffee-related products or services within its corporate group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nims
Target entity description: Nims is a company operating under the Italian coffee brand Lavazza, likely involved in coffee-related products or services within its corporate group.
  • A. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • B. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • C. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • D. Nimaathap
    Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
  • E. Nimadi
    Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb11ec5881908347bf92883a25ee completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680763608190acdd146dc7c0b239 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36c4d77448190abe198ec9d48597d completed March 13, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69b36cca06d48190bc72ad2e9bd9bdb5 completed March 13, 2026, 1:47 a.m.
Created at: March 8, 2026, 3:17 p.m.