Triple

T11056041
Position Surface form Disambiguated ID Type / Status
Subject FEMSA E261378 entity
Predicate hasSubsidiary P254 FINISHED
Object Imbera
Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
 E902702 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: Imbera | Statement: [FEMSA, hasSubsidiary, Imbera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Imbera
Context triple: [FEMSA, hasSubsidiary, Imbera]
  • A. Amana
    Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
  • B. Comelico
    Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Ebara
    Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
  • E. Ambiko
    Ambiko is a small settlement in Ethiopia located near Ras Dashen, the country’s highest mountain in the Simien Mountains range.
  • 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: Imbera
Triple: [FEMSA, hasSubsidiary, Imbera]
Generated description
Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Imbera
Target entity description: Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
  • A. Amana
    Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
  • B. Comelico
    Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Ebara
    Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
  • E. Ambiko
    Ambiko is a small settlement in Ethiopia located near Ras Dashen, the country’s highest mountain in the Simien Mountains range.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86e0e6481908f091497313132c1 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.